Adaptive passive acoustic attenuation system

Information

  • Patent Grant
  • 6295363
  • Patent Number
    6,295,363
  • Date Filed
    Thursday, March 20, 1997
    27 years ago
  • Date Issued
    Tuesday, September 25, 2001
    23 years ago
Abstract
An adaptive passive acoustic attenuation system implements control techniques to facilitate practical use of adaptive passive acoustic attenuation in industrial and commercial applications. The system includes multiple banks of multiple adjustable tuners that are used to passively attenuate an acoustic disturbance (e.g. a tone) propagating through an acoustic plant. All of the tuners in one of the banks are contemporaneously adjusted during an adaptation scan while the tuners in the other banks remain stationary. The process is then carried out for the other banks of adjustable tuners. The number of adjustable tuners per bank is chosen so that adaptation scans of the tuners in the respective bank create observable changes in acoustic levels to enable adaptation. Multiple sets of multiple banks of adjustable tuners can be provided to attenuate multiple disturbances propagating through the acoustic plant. Signals from error sensors are filtered and processed to account for acoustic energy in the plane wave mode as well as higher order modes. Adaptation accuracy is improved by a double scan technique, and by accounting for time-varying acoustic disturbances. Mechanical malfunctioning of the adjustable tuners is reduced by an exercising technique, and the control model implements a lock-out scheme for mechanically malfunctioning tuners.
Description




FIELD OF THE INVENTION




This invention relates to adaptive passive acoustic attenuation systems including adjustable tuners. In particular, the invention relates to control techniques that enable the practical implementation of adaptive passive control to industrial or other heavy duty applications.




BACKGROUND OF THE INVENTION




Adaptive passive acoustic attenuation systems involve the adjustment of adjustable tuners, such as adjustable quarter wavelength resonators or Helmholtz resonators in a sound system or adjustable vibration absorbers in a vibration system. The adaptive passive tuners are adjusted to minimize an acoustic disturbance detected by one or more error sensors within the acoustic plant. Adaptive passive systems are particularly effective for attenuating narrow band acoustic disturbances, such as tonal disturbances.




Most adaptive passive acoustic attenuation systems have been implemented in the laboratory. Implementing a practical adaptive passive acoustic attenuation system at industrial sites or in other commercial applications involves significant changes in adaptive passive control techniques to accommodate the rigorous demands of industrial and/or commercial applications. Practical applications for adaptive passive silencing techniques typically involve higher acoustic loads and less pristine environments than has previously been experienced in laboratory experiments.




The most common adaptation algorithm for adaptive passive systems involves full and/or partial parameter space scanning. In this technique, the parameter setting of the tuners is changed in increments from some starting value to some final value (e.g. increments from a fully open adjustable tuner to a fully closed adjustable tuner) and the acoustic disturbance is monitored using an error sensor at each increment. The parameter setting is determined quickly by monitoring the error signal. However, this single scan technique has some drawbacks. First, time-varying disturbances in the acoustic plant can skew the results of the parameter space scanned. Second, random background noise at or near the frequency of interest can distort the error signal. One way to reduce distortion due to random background noise is to average the error signals over time. However, such averaging creates a time lag so that the actual optimum parameter setting is slightly earlier in time than that determined by the error scan.




Most laboratory experiments involving adaptive passive systems use a single adaptive passive element (e.g. an adjustable tuner) to provide attenuation. In commercial or industrial applications, a single adjustable tuner is usually inadequate. It is normally necessary to provide multiple tuners in order to obtain sufficient attenuation levels. One adaptation technique for multiple tuner systems is to adapt a single tuner at a time, but in many applications adjusting a single tuner does not create an observable change in the sound level. If sound level changes are not observable, adaptation is impossible. Even if sound level changes are observable, single tuner adaptation techniques suffer from slow adaptation in systems using multiple tuners. On the other hand, adapting all tuners in the system synchronously (i.e. identical passive parameter value for all tuners) provides obvious changes in sound level, and maximizes adaptation speed. This technique has significant drawbacks in practical applications, however. First, the technique creates annoying disturbances during the adaptation process. The adaptation process in most adaptive passive systems scans the range of passive parameter settings to determine an optimum setting. Scanning moves the passive parameter setting away from the optimal value. Scanning all of the tuners in the system contemporaneously produces more acoustic disturbance than scanning a single tuner at a time. Thus, overall acoustic levels increase significantly while scanning. Another drawback of scanning all tuners in the system synchronously is that the system requires a higher electrical power output capacity. Each tuner requires a certain amount of electrical power to scan, and synchronous scanning of all of the tuners in the system multiplies the power capacity requirements for the system. Higher system power capacity requirements increase the cost of the system. Yet another drawback of scanning all tuners in the system synchronously is that it increases the possibility of reaching a non-optimal global solution.




While adaptive passive acoustic attenuation can be usefuil for both sound control and vibration control, one particularly useful application for adaptive passive acoustic attenuation at the present time appears to be sound attenuation of tonal disturbances propagating through a duct. At low frequencies, sound propagates through a duct as a series of plane waves. Above a critical “cut on” frequency, however, sound can propagate in the plane wave mode plus one or more higher order modes. Commercial air duct systems typically have a large enough cross-section to support sound propagation in one or more higher order modes in the frequency range of interest for attenuation. Most laboratory adaptive passive acoustic attenuation systems are implemented in a duct having a relatively small cross-section so that sound can propagate in the plane wave mode only. Thus, most laboratory systems are designed to detect acoustic energy propagation in the plane wave mode only. A practical way to detect the total combined acoustic energy propagation in the plane wave mode and in the higher order modes normally present in commercial and industrial air duct systems is desirable.




Another problem in implementing adaptive passive acoustic attenuation in commercial and industrial applications relates to the fact that the frequency of the undesirable acoustic disturbance needs to be determined in a practical manner. In most laboratory systems, the frequency of the disturbance is known or assumed. However, in commercial or industrial applications, the frequency of the undesirable disturbance can change or drift over time.




Another problem in industrial and commercial applications is that disturbance levels can change radically. Adaptation under such circumstances using current adaptation algorithms can yield questionable results.




Since industrial and commercial applications are not typically pristine like laboratory environments, it is important that the adjustable tuners remain operational in the non-pristine environment. Nonetheless, in non-pristine environments, adaptive tuners are susceptible to mechanical failure. While it is desirable to reduce mechanical failure, it is also desirable to provide adaptation techniques that account for mechanical failure.




BRIEF SUMMARY OF THE INVENTION




The invention is an adaptive passive acoustic attenuation system implementing control techniques that facilitate the practical use of adaptive passive acoustic attenuation in industrial and commercial applications, or other heavy-duty applications.




In one aspect, the invention involves the use of multiple banks of multiple adjustable tuners to improve the quality of adaptation. The multiple tuners in one of the banks contemporaneously scan the range of possible passive parameter settings to determine the optimum setting for the tuners in the bank, while adjustable tuners in the other banks remain stationary. Once the optimal setting for the first bank of adjustable tuners has been chosen, the adjustable tuners in a second bank are adjusted, while the adjustable tuners in the other banks remain stationary. This process continues for each of the banks of adjustable tuners, and can be repeated for all banks to further improve adaptation. The number of adjustable tuners in each bank is chosen so that changes in acoustical levels at the frequency of interest are observable, and adaptation of the system to optimum settings is possible. On the other hand, all of the adjustable tuners in the system are not adjusted contemporaneously, thus reducing annoying noise levels during adaptation and reducing electrical power capacity requirements, as well as improving the accuracy of adaptation.




It is preferred that each adjustable tuner be controlled by separate distinct hardware and that the members of the adjustable tuner banks be defined by software within an electronic controller for the system. If it is desired to attenuate an additional acoustic disturbance, an additional set of multiple banks of multiple tuners can be defined by the system, or added to the system to accommodate attenuation of the additional disturbance.




In another aspect, the invention accounts for the total amount of acoustic energy at the frequency of interest that is present in the acoustic plant in both the plane wave mode and in higher order modes during the adaptation process. To do this, the invention uses a plurality of error sensors at distinct locations in the acoustic plant, and filters and processes the respective error signals separately. The preferred method of filtering and processing includes a heterodyning process that frequency-shifts each error signal so that a fixed narrow bandwidth filter can be used even if the frequency of the disturbance being attenuated changes or drifts. Each of the error signals is filtered and processed independently to generate a plurality of processed error signals, each estimating the energy of the disturbance at the respective error sensor for a selected frequency bandwidth. The separate distinct processed error signals are summed together to form a group processed error signal that is used by a control model in the electronic controller for adaptation of the adjustable tuners.




When the disturbance source is time-varying, it is preferred that the system include a plurality of input sensors to monitor the disturbance source during adaptation. Input characteristic signals from the input sensors are preferably filtered and processed in the same manner as the error signals from the error sensors, and are preferably used by the control model to account for the time-varying disturbance source during adaptation.




The preferred manner of adaptation involves a full forward scan of the passive parameter settings for the tuning element of the adjustable tuner, and also a full reverse scan. During the forward scan, the group processed error signal, possibly adjusted for a time-varying disturbance source, is tabulated with respect to the full range of passive parameter settings for the tuning element, and a minimum value for the forward scan is determined. However, since it is desirable to time average the processed error signals to eliminate the effects of random noise, the forward scan lags, and the minimum value for the forward scan lags the actual optimal setting for the tuning element. Thus, in accordance with a preferred embodiment of the invention, a reverse scan is performed to determine a minimum value for the reverse scan, which also lags the optimal setting but in the other direction. The optimal passive parameter setting is then determined by averaging the minimum processed error value for the forward scan and the minimum processed error value for the reverse scan.




In another aspect, the invention involves implementation of an exercising technique that is used to periodically exercise the tuning element for the adjustable tuner even when it is not necessary to adapt the system. Periodic exercising cleans the adjustable tuner, and reduces the likelihood of premature mechanical failure. The invention also implements the use of limit switches to detect when a mechanical malfunction has occurred either during an adaptation scan or while exercising the tuning element of the adjustable tuner. If the system detects that an adjustable tuner is malfunctioning, the system control model no longer adjusts the failed adjustable tuner and considers the adjustable tuner to be eliminated from the system. Therefore, further damage to the malfunctioning adjustable tuner is obviated.




The invention thus provides an adaptive passive acoustic attenuation system that can be effectively implemented in industrial and commercial applications.




Other advantages and features of the invention may be apparent to those skilled in the art upon inspecting the drawings and the following description thereof.











BRIEF DESCRIPTION OF THE DRAWINGS





FIG. 1

is a schematic drawing illustrating an adaptive passive acoustic attenuation system in accordance with the invention.





FIG. 2

is a side elevational view of the mechanical components of a quarter wavelength resonator that is used in the preferred embodiment of the invention.





FIG. 3

is a view of the quarter wavelength resonator shown in

FIG. 2

rotated 90°.





FIG. 4

is a schematic drawing illustrating a control scheme implemented in an electronic controller in accordance with the invention.





FIG. 5

is a schematic drawing illustrating a narrow band filtering and processing element using a heterodyning technique that is implemented in accordance with a preferred embodiment of the invention.





FIGS. 6A-6C

are plots illustrating a double scan adaptation technique used in accordance with the preferred embodiment of the invention.





FIGS. 7A-7B

are plots illustrating the effects of a time-varying disturbance source on adaptation.





FIG. 8

is a schematic drawing illustrating the use of input sensors to account for the effects of a time-varying disturbance source on adaptation.











DETAILED DESCRIPTION OF THE DRAWINGS





FIG. 1

illustrates an adaptive passive attenuation system


10


in accordance with the preferred embodiment of the invention that attenuates an acoustic disturbance, such as a tone, propagating through an acoustic plant


12


. In the embodiment of the invention shown in the drawings, the system


10


attenuates a selected tonal disturbance propagating through the acoustic plant


12


, however, the invention is not limited to the attenuation of tonal disturbances. Rather, the invention can be used for narrow band attenuation and even for broad band attenuation if several narrow band systems are combined together.




The acoustic plant


12


shown in

FIG. 1

is a duct, e.g., a cylindrical duct common in heavy-duty industrial applications or a rectangular duct common in commercial HVAC applications. The duct


12


receives acoustic input from a disturbance source


14


such as a fan. The arrows designated by reference numeral


16


represent the acoustic disturbance propagating from the fan


14


through the duct


12


.




The system


10


includes a plurality of adjustable tuners


20


A,


20


B,


22


A,


22


B,


24


A,


24


B that communicate acoustically with the acoustic plant


12


(i.e. duct


12


). The adjustable tuners


20


A,


20


B,


22


A,


22


B,


24


A,


24


B each have passive acoustical characteristics that are adjustable in accordance with passive parameter settings. The adjustable tuners


20


A,


20


B,


22


A,


22


B,


24


A,


24


B are preferably quarter wavelength resonators each having a selectively positionable plunger. Repositioning the plungers adjusts the length of the respective resonator


20


A,


20


B,


22


A,


22


B,


24


A,


24


B, and thus adjusts the frequency at which the adjustable tuner most effectively attenuates. It should be understood, however, that the invention is not limited to the use of quarter wavelength resonators, but other types of adjustable passive tuners such as Helmholtz resonators or the like can be used in accordance with the invention. Copending patent application entitled “Tunable Acoustic System” Ser. No. 08/780,480, now U.S. Pat. No. 5,930,371, by C. Raymond Cheng, Jason D. McIntosh, Michael T. Zurowski and Larry J. Eriksson, incorporated herein by reference, discloses certain alternative configurations for adjustable or tunable resonators that can be used in carrying out the invention.




The system


10


includes a plurality of error sensors


26


A,


26


B,


26


C that are located to sense the acoustic disturbance


16


in the acoustic plant


12


downstream of the adjustable tuners


20


A,


20


B,


22


A,


22


B,


24


A,


24


B from the disturbance source


14


. In a sound attenuation system, the error sensors


26


A,


26


B,


26


C are preferably microphones. In a vibration attenuation system, the error sensors


26


A,


26


B,


26


C are preferably accelerometers. The purpose of the system


10


is to adjust the adjustable tuners


20


A,


20


B,


22


A,


22


B,


24


A,


24


B to passively attenuate a selected tone propagating through the acoustic plant


12


from the disturbance source


14


so that the energy of the tonal disturbance at the error microphones


26


A,


26


B,


26


C is minimized. Each error sensor


26


A,


26


B,


26


C senses the acoustic disturbance within the duct


12


at a distinct physical location. In response to the sensed acoustic disturbance


16


, each error sensor


26


A,


26


B,


26


C generates an analog error signal that is transmitted via lines


28


A,


28


B,


28


C to an electronic controller


30


. While

FIG. 1

illustrates the use of three error sensors


26


A,


26


B,


26


C, in many applications it may be desirable to use more or less error sensors.




The electronic controller


30


is located within a control box


32


that also contains a series of dedicated tuner control boards


32


A,


32


B,


34


A,


34


B,


36


A,


36


B, each corresponding to a respective adjustable tuner


20


A,


20


B,


22


A,


22


B,


24


A,


24


B. The electronic controller


30


outputs a correction signal in line


38


that is transmitted to the tuner control boards


32


A,


32


B,


34


A,


34


B,


36


A,


36


B. A dedicated control line


40


A,


40


B,


42


A,


42


B,


44


A,


44


B connects each tuner control board


32


A,


32


B,


34


A,


34


B,


36


A,


36


B to a respective adjustable tuner


20


A,


20


B,


22


A,


22


B,


24


A,


24


B. Each tuner control board


32


A,


32


B,


34


A,


34


B,


36


A,


36


B controls the adjustment of the respective adjustable tuner


20


A,


20


B,


22


A,


22


B,


24


A,


24


B by transmitting a control signal through the respective dedicated line


40


A,


40


B,


42


A,


42


B,


44


A,


44


B. The control signals transmitted through lines


40


A,


40


B,


42


A,


42


B,


44


A,


44


B are generated in response to the correction signal from the electronic controller


30


transmitted to the tuner control boards


32


A,


32


B,


34


A,


34


B,


36


A,


36


B via line


38


.




It is preferred that each of the adjustable tuners


20


A,


20


B,


22


A,


22


B,


24


A,


24


B be identical to one another in size and geometry, although this is not necessary to carry out the invention.

FIGS. 2 and 3

illustrate the preferred adjustable tuner


20


,


22


,


24


which is a quarter wavelength resonator


46


having a selectively positionable plunger


48


. The preferred quarter wavelength resonator


46


has a generally cylindrical housing


50


. The housing


50


has an open end


52


that communicates with the acoustic plant


12


when the resonator


46


is mounted on the duct


12


. A circumferential mounting flange


54


is provided around the open end


52


of the resonator housing


50


so that the resonator can be easily mounted to the duct


12


. The resonator housing


50


includes a mechanical chamber


56


and an acoustical quarter wavelength chamber


58


. The acoustical chamber


58


is defined by an inner surface


60


of the resonator housing


50


, the inner surface


62


of the selectively positionable plunger


48


and the opening


52


that allows the acoustical chamber


58


to communicate with the acoustic plant


12


when the resonator


46


is mounted to the duct


12


. The circumferential edge


49


of the plunger


48


includes two seals


51


that seal between the circumferential edge


49


of the plunger


48


and the inner surface


60


of the cylindrical wall of the resonator


50


. The mechanical chamber


56


is defined by the inside surface of the resonator housing


50


and a top surface


64


of a mounting plate


66


that spans across the inside surface of the resonator


50


cylindrical wall. The mounting plate


66


supports a lead screw drive system


68


that is used to move the plunger


48


to adjust the dimensions of the acoustical quarter wavelength chamber


58


. The lead screw drive system


68


includes a lead screw


70


that passes through a center opening (not shown) in the mounting plate


66


and is attached to the movable plunger


48


using bolts


72


. A bearing


74


supports the lead screw


70


as the lead screw


70


passes through the mounting plate


66


. A lead screw drive pulley


76


having a threaded annular opening is rotated by belt


78


to drive the lead screw


70


and reposition the plunger


48


. A stepper motor


80


located within the mechanical chamber


56


drives a pulley mechanism


82


that is connected to pulley drive belt


78


. Thus, the stepper motor


80


can be controlled to drive the pulley drive belt


78


, and move the lead screw


70


and the movable plunger


48


in the acoustical quarter wavelength chamber


58


accordingly. In this manner, the position of the plunger


48


can be selectively positioned so that the distance of the plunger


48


from the opening


52


matches one-quarter of a wavelength of the tone desired to be attenuated.




The lead screw drive mechanism also includes a frame


84


that extends over the lead screw


70


. An upper limit switch


86


is mounted to a top portion of the frame


84


and a lower limit switch


88


is mounted to a lower portion of the frame


84


. A switch trigger plate


90


is mounted to a top portion of the lead screw


70


. When the adjustable quarter wavelength resonator


46


is in a fully open position, the switch trigger plate


90


attached to the lead screw


70


triggers the upper limit switch


86


. When the adjustable quarter wavelength resonator


46


is in a fully closed position, the switch trigger plate


90


triggers the lower limit switch


88


.




Referring now to

FIG. 4

, the electronic controller


30


includes a narrow bandwidth filter and a processing element


92


that filters and processes the error signals from the error sensors


26


A,


26


B,


26


C to create processed error signals corresponding to the tone of interest in the acoustic disturbance. In particular, the analog error signals in lines


28


A,


28


B and


28


C from the error sensors


26


A,


26


B,


26


C are transmitted to a respective analog to digital converter


94


A,


94


B,


94


C. The A/ID converters


94


A,


94


B,


94


C each output a digital error signal in lines


96


A,


96


B,


96


C, respectively. The digital error signals in lines


96


A,


96


B,


96


C separately input the narrow bandwidth filtering and processing element


92


. The narrow bandwidth filtering and processing element


92


outputs processed error signals represented by reference numbers


98


A,


98


B,


98


C, which preferably represent the average energy of the acoustic disturbance sensed by the respective error sensor


26


A,


26


B,


26


C. The separate processed error signals in lines


98


A,


98


B,


98


C are summed at summer


100


which outputs a group processed error signal in line


102


. The group processed error signal in line


102


is used by a control model M, designated as block


104


, to adjust the setting of the adjustable tuners


20


A,


20


B,


22


A,


22


B,


24


A,


24


B. The control model M, block


104


, outputs the correction signals in line


38


.




It is preferred that the control model M, block


104


, implement a full or partial parameter space scanning technique to determine the value of the correction signal


38


and the optimal passive parameter setting for the adjustable tuners


20


A,


20


B,


22


A,


22


B,


24


A,


24


B. Many aspects of this invention can be carried out even though the control model M, block


104


, does not implement a full or partial parameter space scanning technique. For instance, other adaptation techniques, such as gradient descent or open loop control, can be implemented by the control model M, block


104


. In the full or partial parameter space scanning technique, passive parameter settings for each of the adjustable tuners


20


A,


20


B,


22


A,


22


B,


24


A,


24


B are changed in increments from a scan start setting to a scan end setting, and the group processed error signal in line


102


is monitored along the scan. In general, the optimal value for the passive parameter setting for each of the tuning elements


20


A,


20


B,


22


A,


22


B,


24


A,


24


B is determined to be the setting at which the group processed error signal is minimized. By basing the determination of the optimal settings on the group processed error signal


102


instead of a single processed error signal such as


98


A,


98


B, or


98


C, it is unlikely that acoustic energy in a higher order mode will be neglected.




For successful application of adaptive passive acoustic attenuation in most industrial and commercial sites, using a single error microphone is not sufficient due to the relatively large duct size because acoustic energy propagation in the higher order modes is probable. If acoustic energy propagation in higher order modes is not likely to be present, the system


10


can use a single error microphone effectively. However, in most industrial and commercial applications, multiple error sensors


26


A,


26


B,


26


C are desirable. Summing multiple microphones in a single plane in the time domain results in a signal representing nodal acoustic energy propagation in the plane wave mode only, but it is also desirable to attenuate acoustic energy propagation in the higher order modes. Therefore, to approximate the overall acoustic energy propagation at the desired frequency through the duct


12


, the acoustic energy at each error sensor


26


A,


26


B,


26


C is determined at the frequency of interest ω


1


to generate a processed error signal, and the acoustic energy at each error sensor are summed together to provide an overall acoustic energy estimate at the frequency of interest ω


1


(i.e. a group processed error signal).





FIG. 5

illustrates the preferred narrow band filtering and processing element


92


. The preferred narrow band filtering and processing element


92


implements a heterodyning process that uses a fixed narrow bandpass filter


106


. As shown in

FIG. 5

, the preferred narrow band filter and processing element


92


also includes a broad bandpass filter


108


, a frequency-shifting multiplier


110


, an instantaneous power multiplier


112


, and a time averager


114


. The digital error signal in line


96


preferably inputs the broad bandwidth filter


108


. The broad bandwidth filter


108


should have a bandwidth of 20-50 Hz with a center frequency that roughly matches the disturbance frequency. The purpose of the broad bandwidth filter


108


is to pre-filter the digital error signal before the heterodyning process, which minimizes the risk of having noise at the sum frequency appear at the difference frequency of interest (or vice-versa) during the heterodyning process.




The broad bandwidth filter


108


outputs a pre-filtered digital error signal in line


116


. The pre-filtered digital error signal in line


116


inputs the frequency-shifting multiplier


110


. A heterodyning tone signal in line


118


represented as cos(ω


2


k) also inputs the frequency-shifting multiplier


110


. The frequency-shifting multiplier


110


outputs a frequency-shifted error signal as illustrated by line


120


. The frequency ω


2


of the heterodyning signal cos(ω


2


k) is determined by comparing the frequency ω


1


of the tone that is desired to be attenuated to the center frequency ω


3


of the fixed narrow bandpass filter


106


. For instance, the pre-filtered error signal illustrated by line


116


has an amplitude A


1


and a frequency ω


1


, so that the tone can be represented as A


1


cos(ω


1


k). The frequency-shifted error signal illustrated in line


120


from the frequency-shifting multiplier


110


is given by the following expression:








A


cos(ω


1




k


)cos(ω


2




k


)=½


A[


cos((ω


1





2


)


k


)+cos((ω


1


−ω


2


)


k


)]  (Eq. 1)






Thus, the heterodyning frequency ω


2


can be determined so that either adding the heterodyning frequency ω


2


to the frequency of interest ω


1


or subtracting the heterodyning frequency ω


2


from the frequency of interest ω


1


corresponds to the center frequency ω


3


of the fixed narrow bandpass filter


106


. As an example, if the fixed narrow bandpass filter


106


has a center frequency ω


3


of 100 Hz and the disturbance frequency ω


1


is 238 Hz, selecting a heterodyning frequency ω


2


of 138 Hz or 338 Hz shifts the error signal as illustrated in line


120


to 100 Hz for filtering through the fixed narrow bandpass filter


106


.




The disturbance frequency ω


1


is normally time-varying, and should be monitored to properly select a heterodyning frequency ω


2


. The disturbance frequency ω


1


can be sensed using a tachometer-type sensor on the disturbance source


14


. Alternatively, the disturbance frequency ω


1


can be monitored with an input sensor near the disturbance source


14


and an accompanying phase-lock loop circuit, or in some applications it may even be possible to use one of the error sensors


26


with an accompanying phase-lock loop circuit.




The primary advantage of using a fixed narrow bandwidth filter


106


and a heterodyning technique to shift the frequency of the error signal is that this approach requires the design and implementation of only a single, fixed narrow bandwidth filter


106


, even though the disturbance frequency of interest ω


1


may change or drift over time. The single, fixed narrow bandpass filter


106


can be designed using commercial filter design packages, which facilitates the development of an accurate filter


106


. Once the filter


106


is designed, the filter coefficients can be downloaded onto the electronic controller


30


. Alternatively, the filter coefficients can even be included as compile-time constants. Thus, during operation, only the heterodyning frequency ω


2


needs to be calculated. This is significantly more practical than generating and implementing distinct narrow bandpass filters having a center frequency corresponding to the disturbance frequency (o, while the system


10


is on-line.




The fixed narrow bandwidth filter


106


outputs a filtered disturbance signal fds[k] as illustrated by line


122


. The filtered disturbance signal fds[k] is squared as illustrated by lines


122


and


122


A and squaring multiplier


112


. Squaring multiplier


112


outputs an instantaneous power signal, line


124


. The instantaneous power signal


124


is preferably time averaged, block


114


. Block


114


illustrates that the instantaneous power signal


124


is weighted by a factor of 1−α where 0≦α≦1 represents a time constant. The summer


128


indicates that the time weighted instantaneous power signal is summed with a weighted error energy estimate for the previous sampling period to generate an error energy estimate or processed error signal in line


98


. The processed error signal


98


is specific to each filtered disturbance signal fds[k]. The processed error signal


98


is thus an energy estimate for the error signal from the respective error sensor


26


A,


26


B,


26


C given by the following expression:






Energy Est.[


k]=


(α)(Energy Est.[


k−


1])+(


fd[k


])


2


(1−α)  (Eq. 2)






where Energy Est. [k] is the value of the processed error signal in line


98


at time k, α is a time averaging weight factor 0≦α≦1, and fds[k] represents the filtered disturbance signal in line


122


output from the fixed narrow bandpass filter


106


. The time constant uo should be chosen so that the time averager


114


is long enough to smooth instantaneous power at the center frequency of the fixed narrow bandpass filter


106


, but should be short enough so that changes in the actual energy can be observed quickly.




As shown in

FIG. 5

, the error signals from each of the plurality of error sensors


26


A,


26


B,


26


C are separately filtered through the narrow band filtering and processing element


92


to generate the processed error signals in lines


98


A,


98


B,


98


C,

FIGS. 4

,


5


.

FIGS. 4 and 5

show that the separate processed error signals


98


A,


98


B,


98


C are then summed together by summer


100


to generate the group processed error signal


102


.




If multiple disturbance frequencies co, are being attenuated by the system


10


, the entire process illustrated in

FIG. 5

must be carried out for each frequency ω


1


of interest. In such a system, it is preferred that all of the frequencies of interest ω


1


be shifted independently such that the same narrow bandwidth filter


106


coefficients can be used for each disturbance frequency ω


1


of interest.




Referring again to

FIG. 1

, in most industrial and commercial applications, more than one adjustable tuner


20


A,


20


B,


22


A,


22


B,


24


A,


24


B must be adjusted to create observable changes in the acoustical disturbance


16


that can be detected by the error sensors


26


A,


26


B,


26


C. In accordance with the invention, the system


10


thus provides multiple banks


20


,


22


,


24


of multiple adjustable tuners


20


A and


20


B,


22


A and


22


B, and


24


A and


24


B, respectively. Each of the adjustable tuners in the respective bank


20


,


22


,


24


are adjusted contemporaneously to vary the acoustic disturbance


16


sensed by the error sensors


26


,


26


B,


26


C while the adjustable tuners in the other banks remain stationary. In this manner, a first bank


20


of adjustable tuners such as


20


A,


20


B can accomplish a full or partial scan of the passive parameter settings to create observable acoustical changes, thus allowing an optimal setting for the adjustable tuners


20


A,


20


B in the first bank


20


to be determined. After determining an optimal setting for the tuners


20


A,


20


B in the first bank


20


, the second bank


22


of tuners


22


A,


22


B is adjusted in accordance with a full or partial scan of the passive parameter settings, while the adjustable tuners in the other banks remain stationary, to determine the optimal setting for the adjustable tuners


22


A,


22


B in the second bank


22


B of tuners. Likewise, the tuners in each remaining bank are adjusted to accomplish a full or partial scan while the tuners not in the respective remaining bank remain stationary. This process can be repeated as necessary to improve attenuation.




While

FIG. 1

illustrates three banks


20


,


22


,


24


each having two adjustable tuners


20


A and


20


B,


22


A and


22


B, and


24


A and


24


B, the invention is not limited to this specific configuration. One or more additional banks of adjustable tuners can be added to the system. Further, it is not required that the same number of tuners be present in each bank of tuners. For instance, in an application requiring ten tuners, it may be desirable for one bank of tuners to have four adjustable tuners while another bank of tuners has six adjustable tuners.




To promote flexibility of the system


10


among different applications having various acoustical requirements, it is preferred that the assignment of adjustable tuners


20


A,


20


B,


22


A,


22


B,


24


A,


24


B to the respective bank


20


,


22


,


24


be implemented by software within the electronic controller


30


. Thus, the correction signal


38


from the electronic controller


30


to the tuner control boards


32


A,


32


B,


34


A,


34


B,


36


A,


36


B controls the sequencing, scanning, and optimal setting for each of the tuner control boards


32


A,


32


B,


34


A,


34


B,


36


A,


36


B in accordance with a software-selected bank configuration. The bank configuration is preferably selected by a system


10


operator or programmer. In some applications, it may be desirable to choose the bank configuration using artificial intelligence implemented within the electronic controller


30


.




Using multiple banks


20


,


22


,


24


of multiple tuners


20


A and


20


B,


22


A and


22


B,


24


A and


24


B, the system


10


achieves reasonably quick adaptation without sacrificing adaptation accuracy as long as the bank configuration is selected properly. In addition, the required electrical power output capacity of the system


10


necessary to move the adjustable tuners is reduced dramatically when compared to a system that scans all of the adjustable tuners contemporaneously. Further, adaptation can be accomplished without creating annoying disturbances during adaptation.




Referring again to

FIGS. 2 and 3

, mechanical failure of one or more of the adjustable tuners can adversely affect system performance


10


. To reduce the likelihood of mechanical failure, the adjustable tuning element (e.g., the selectively positionable plunger


48


) should be exercised through a full range of settings on a periodic basis. For instance, with respect to the quarter wavelength resonator


46


shown in

FIGS. 2 and 3

, exercising the resonator


46


so that the plunger


48


moves from a fully closed position to a fully open position on a regular basis ensures that dirt/waste/particle build-up on the cylinder wall


60


of the acoustical quarter wavelength chamber


58


is not excessive. Eliminating excessive build-up reduces the likelihood of increased mechanical resistance due to rust or other corrosion. The preferred manner of cleaning or exercising consists of moving the plunger


48


to the fully closed position, moving the plunger


48


to the fully open position, and returning the plunger


48


to the optimal setting. An alternative cleaning/exercising procedure consists of moving the plunger


48


from the optimal setting to the fully closed position, and returning the plunger


48


to the optimal setting. Such a cleaning/exercising procedure should be carried out on a regular basis, and is especially important if regular adaptation is not possible. For instance, it may be desirable to clean or exercise the resonator


48


on a regular basis, but adapt only in cases when there is significant performance loss.




Still referring to

FIGS. 2 and 3

, the scan start limit switch


86


and the scan end limit switch


88


are provided so that the electronic controller


30


can determine whether or not each resonator


46


is fully functional. If the electronic controller


30


detects a mechanical failure, it is preferred that the resonator


46


with the mechanical failure be dropped from the adaptive control system


10


(i.e. the electronic controller


30


no longer generates a correction signal


38


to control the malfunctioning tuner control board, for instance


36


B, to drive the respective adjustable tuner


24


B).




It is convenient to test the respective tuner


46


when the tuner


46


is exercised as discussed above. When the plunger


48


is moved to the fully closed position, the lead screw switch trigger plate


90


actuates the closed position limit switch


88


. As the stepper motor


80


drives the lead screw


70


to move the plunger


48


from the fully closed position to the fully open position, memorization of the stepper motor steps provides an estimate of the current position of the plunger


48


. Under normal operating conditions, when the plunger


48


is moved to the fully open position, the lead screw switch trigger plate


90


actuates the open position limit switch


86


. If the plunger


48


binds against the inner wall


60


of the resonator


46


, the binding may cause the plunger


48


to lock-up, and the plunger


48


may not physically reach the fully closed position. If the plunger


98


does not reach the fully closed position, the lead screw switch trigger plate


90


will not actuate the closed position limit switch


88


. If either of the open position limit switch


86


or the closed position limit switch


88


are not triggered, or if either of the switches


86


or


88


fails, the electronic controller


30


determines that the respective resonator is not fully functional, and terminates adaptation of the failed resonator


46


.




Referring now to

FIGS. 6A

,


6


B and


6


C, the preferred adaptation technique is a double scan technique that eliminates scan lag when determining an optimal passive parameter setting for a respective tuning element such as plunger


48


in resonator


46


. It is known in the prior art to determine an optimum passive parameter setting for an adaptive passive tuning element by conducting a single scan of the full or partial range of possible passive parameter settings. This is accomplished by adjusting the position of the tuning element between the position corresponding to a scan start setting and a position corresponding to a scan end setting. However, such single scan techniques are not precise in some applications.

FIG. 6A

is a graph


129


illustrating actual error energy at the disturbance frequency ω


1


as a function of the position of the tuning element between a fully closed position (parameter setting position=0) and a fully open position (parameter setting position=200). The optimal passive parameter setting for the tuning element is designated by reference numeral


130


.

FIG. 6B

shows that the time averaged error energy for a single forward scan


132


from the closed position (parameter setting position=0) to an open position (parameter setting position=200) lags the actual error energy as indicated by curve


129


. Thus, a minimum point


134


of the curve


132


representing the forward scan provides an incorrect estimate of the optimal passive parameter setting. While time averaging the error signals, block


114


in

FIG. 5

, is desirable to reduce the effects of random background noise at or near the frequency A of interest, such time averaging creates the time lag illustrated in

FIG. 6B

which adversely affects the selection of the optimal passive parameter setting for the tuning element. In the quarter wavelength resonator


46


shown in

FIGS. 2 and 3

, a full scan is about 8 inches long, and the lag shown in

FIG. 6B

is about ⅛ to ¼ of an inch. The effect of the time lag can be reduced by slow scanning, however, slow scanning greatly increases adaptation time. Therefore, in accordance with the invention, it is preferred to use a double scan technique wherein the optimal passive parameter setting is determined by averaging the minimal error value


134


of a forward scan and a minimal error value


138


of reverse scan


136


, FIG.


6


C.





FIG. 6C

illustrates the double scan technique in detail.

FIG. 6C

shows a forward scan


132


having a minimal error value at location


134


corresponding to a passive parameter setting of position equal to about


145


. The forward scan


132


is accomplished by adjusting the position of the tuning element


48


between the scan start position and the scan end position. In carrying out the invention, it is preferred to accomplish a full parameter scan in which the scan start position corresponds to a fully closed position for the tuning element


48


and the scan end position corresponds to a fully closed position for the tuning element


48


.

FIG. 6C

also shows a reverse scan


136


of the possible passive parameter settings for the adjustable tuner. The reverse scan


136


is attained by adjusting the position of the tuning element


48


between the position corresponding to the scan end setting (preferably the fully open position) and the position corresponding to the scan start setting (preferably the fully closed position). The minimal error value


138


for the reverse scan


136


is located at a passive parameter setting position approximately equal to about


138


. The average of the minimal error value


134


for the forward scan


132


and the minimal error value


138


for the reverse scan


136


is approximately equal to a passive parameter setting 141.5, see reference numeral


140


. The average passive parameter setting 141.5, reference number


140


, is only slightly more than the minimal value


130


for the actual error given by curve


129


.




In addition to random background noise and scanning time lags, system adaptation can be skewed when the disturbance


16


from the disturbance source


14


varies with respect to time. Referring to

FIGS. 7A-7B

,

FIG. 7A

is a plot showing a time-varying group error energy level


142


as a function of passive parameter settings during an adaptation scan. The group energy level fluctuates greatly with respect to time during the adaptation scan.

FIG. 7B

plots a group error energy estimate


144


for an adaptation scan having a time-varying disturbance source


14


. The curve reference number


144


has a minimal error value designated by reference number


146


corresponding approximately to passive parameter setting


160


.

FIG. 7B

also plots a group error energy estimate


148


for an adaptation scan having constant disturbance levels


16


. The curve


148


has a minimal error value designated by reference number


150


corresponding approximately to a passive parameter setting


141


.

FIG. 7B

thus illustrates that a time-varying disturbance source


14


can result in significant inaccuracies in estimating the optimal setting for the tuning element (i.e. point


146


versus point


150


).





FIG. 8

shows a system


152


in which the control model


104


A accounts for a time-varying disturbance source


14


during adaptation to overcome the problems with adaptation described with respect to

FIGS. 7A and 7B

. In many respects, the system


152


shown in

FIG. 8

is similar to the system


10


described in detail in

FIGS. 1-5

, and like reference numbers are used where appropriate to facilitate understanding. The system


152


in

FIG. 8

includes a plurality of input sensors


154


A,


154


B and


154


C. The input sensors


154


A,


154


B,


154


C sense the acoustic disturbance


16


in the duct


12


near the disturbance source


14


. In a sound attenuation system, the input sensors


154


A,


154


B,


154


C are preferably microphones, however, other types of sensors can be used to monitor the disturbance source


14


. The input sensors


154


A,


154


B,


154


C each generate an input characteristic signal that is transmitted to the electronic controller


30


via lines


156


A,


156


B, and


156


C, respectively. The input characteristic signals in lines


156


A,


156


B, and


156


C are analog signals that are converted to digital signals by A/D converters


158


A,


158


B, and


158


C. The A/D converters


158


A,


158


B, and


158


C output digital input characteristic signals in lines


160


A,


160


B and


160


C that are transmitted to the narrow band filtering and processing element


92


. The digital input characteristic signals are filtered and processed by the narrow band filtering and processing element


92


in the same manner as the digital error signals in lines


96


A,


96


B,


96


C which has previously been described. The narrow band filtering and processing element


92


outputs processed input characteristic signals in lines


162


A,


162


B, and


162


C, respectively. The separate processed input characteristic signals in lines


162


A,


162


B,


162


C are summed together as illustrated by summer


164


to form a group processed input characteristic signal as illustrated by line


166


. An example of a typical group processed input characteristic signal at line


166


in

FIG. 8

is illustrated as curve


142


in FIG.


7


A. The control model


104


A accounts for a time-varying disturbance source


14


by using the group processed input characteristic signal in line


166


to adjust the value of the group processed error signal in line


102


. In particular, the group processed error signal


102


given by curve


144


in

FIG. 7B

is divided by the group processed input characteristic signal


166


given by curve


142


in

FIG. 7A

of each passive parameter setting to generate an estimate of the group processed error signal for the scan at constant disturbance levels such as curve


148


in FIG.


7


B.




Although the embodiment of the invention described is directed to attenuation of a tonal disturbance (or a narrow band disturbance) at a single frequency in the acoustic plant, the invention can be used to attenuate two or more distinct tones (or multiple narrow band disturbances) in the disturbance


16


. When this is desired, one or more sets of multiple banks of adjustable tuners should be defined or added to the system for each additional frequency. However, it would normally not be necessary to provide additional input sensors


154


A,


154


B,


154


C, or additional error sensors


26


A,


26


B,


26


C. Rather, the control model


104


,


104


A in the electronic controller


30


can adapt the various sets of multiple banks of adjustable tuners using group processed error signals


102


and group processed input characteristic signals


166


that are filtered for the various frequencies of interest. As mentioned above, when the narrow band filtering and processing element


92


A uses a heterodyning process, the same fixed narrow bandwidth filter can be used to filter all of the frequency-shifted input characteristic signals and error signals for each of the frequencies of interest.




While the preferred embodiments of the invention have been described with respect to an adaptive passive sound attenuation system implemented on a duct


12


in a sound attenuation application, the invention is not limited to such applications. For instance, many aspects of the invention are useful in sound attenuation applications where the acoustic plant


12


is not a duct. Similarly, the invention may be applied to systems where the disturbance source is not a fan. For instance, the invention may be useful for engine exhaust mufflers. Furthermore, many aspects of the invention are useful in passive vibration attenuation systems. In such passive vibration attenuation systems, the acoustic plant may be a beam or some other mechanical structure, the adjustable tuners


20


A,


20


B,


22


A,


22


B,


24


A,


24


B, may be tunable vibration absorbers, and the error sensors


26


A,


26


B,


26


C and the input characteristic sensors


154


A,


154


B,


154


C are preferably accelerometers. In other respects, such as frequency filtering and scanning techniques, an adaptive passive vibration system in accordance with the invention operates in the same manner as the adaptive passive sound attenuation systems illustrated specifically in the drawings. It may also be desirable to carry out the invention in a combined sound and vibration attenuation system.




Moreover, an adaptive passive system in accordance with the invention may be used in conjunction with either a conventional passive system, or a fully active system, or both.




Other modifications, alternatives and equivalents to the invention may be apparent to those skilled in the art. The following claims should be interpreted to include such modifications, alternatives and equivalents.



Claims
  • 1. An adaptive passive acoustic attenuation system that attenuates an acoustic disturbance in an acoustic plant comprising:multiple banks of adjustable tuners communicating acoustically with the acoustic plant, each adjustable tuner having passive acoustical characteristics determined in accordance with passive parameter settings; an error sensor that senses an acoustic disturbance in the acoustic plant and generates an error signal in response thereto; an electronic controller that receives the error signal from the error sensor and outputs correction signals to selectively adjust the passive parameter settings of the adjustable tuners; means for adapting the system which comprises contemporaneously adjusting the passive parameter settings for all of the tuners in one of the banks to vary the acoustic disturbance sensed by the error sensor while the tuners in the other banks remain stationary; means for determining whether each adjustable tuner is fully operational; and means for deactivating adjustment of any adjustable tuner in the system that is not fully operational.
  • 2. An adaptive passive acoustic attenuation system that attenuates an acoustic disturbance in an acoustic plant comprising:multiple banks of adjustable tuners communicating acoustically with the acoustic plant, each adjustable tuner having passive acoustical characteristics determined in accordance with passive parameter settings; an error sensor that senses an acoustic disturbance in the acoustic plant and generates an error signal in response thereto; an electronic controller that receives the error signal from the error sensor and outputs correction signals to selectively adjust the passive parameter settings of the adjustable tuners; means for adapting the system which comprises contemporaneously adjusting the passive parameter settings for all of the tuners in one of the banks to vary the acoustic disturbance sensed by the error sensor while the tuners in the other banks remain stationary; each adjustable tuner is a quarter wavelength resonator having a selectively positionable plunger and a stepper motor dedicated to each tuner that moves the respective plunger in response to the respective correction signal from the electronic controller; the adjustable tuner comprises a first end stop switch that indicates when the plunger is at a fully closed position and a second end cap stop switch that indicates when the plunger is at a fully open position; and the electronic controller contains means for estimating the position of the plunger in the quarter wavelength resonator in accordance with the respective correction signals transmitted to the respective stepper motor.
  • 3. A method of passively attenuating acoustic disturbances in an acoustic plant, the method comprising the steps of:a) sensing an acoustic disturbance in an acoustic plant and generating an error signal in response thereto; b) providing multiple banks of adjustable tuners that communicate acoustically with the acoustic plant; c) determining an optimal setting for the adjustable tuners by contemporaneously adjusting all of the tuners in one of the banks to vary the acoustic disturbance in the acoustic plant while the tuners in the other banks remain stationary; d) setting the adjustable tuners in the respective bank in unison so that the acoustic disturbance sensed in the acoustic plant is minimized; and e) repeating steps c) and d) for all of the tuners in each respective bank.
  • 4. A method as recited in claim 3 further comprising the steps of repeating steps c) through e) listed in claim 3.
  • 5. A method as recited in claim 3 further comprising the step of:sensing the acoustic disturbance in the acoustic plant at several distinct physical locations to generate a plurality of error signals; separately filtering each of the plurality of error signals to generate separate processed error signals representing the energy of the acoustic disturbance within a frequency bandwidth containing the disturbance of interest; summing the plurality of separate processed error signals to generate a group processed error signal; and setting all of the adjustable tuners in each respective bank in unison so that the group processed error signal is minimized.
  • 6. A method as recited in claim 5 wherein the acoustic plant has a plant inlet receiving acoustic input and the method further comprises:sensing the acoustic disturbance with an input sensor at a location closer to the plant inlet than any of the adjustable tuners, and generating an input characteristic signal in response thereto; and using the input characteristic signal to adjust the determination of the optimal setting for the adjustable tuners.
  • 7. A method as recited in claim 3 wherein the banks of adjustable tuners are defined by software within an electronic controller so that each adjustable tuner is assigned to a particular bank and the system is capable of reassigning adjustable tuners to other banks within the system.
  • 8. A method as recited in claim 3 further comprising the steps of:determining whether each adjustable tuner is fully operational on an intermittent basis; and deactivating adjustment of any adjustable tuner in the system that is not fully operational.
  • 9. A method as recited in claim 3 wherein each adjustable tuner is a quarter wavelength resonator having a selectively positionable plunger and a stepper motor dedicated to each tuner that moves the respective plunger in response to a correction signal from an electronic controller, and wherein each adjustable tuner comprises a first end stop switch that indicates when the plunger is at a fully closed position and a second end stop switch that indicates when the plunger is at a fully open position; and the method further comprises the steps of:estimating the position of the plunger in the quarter wavelength resonator in accordance with the respective correction signals transmitted from the stepper motor; intermittently determining whether each adjustable tuner is fully operational by comparing the estimated position of the plunger in the quarter wavelength resonator as the plunger moves between a fully closed position and a fully open position or vice-versa; and deactivating adjustment of any adjustable tuner in the system that is not fully operational.
  • 10. An adaptive passive acoustic attenuation system that attenuates an acoustic disturbance in an acoustic plant comprising:an adjustable tuner communicating acoustically with the acoustic plant, the adjustable tuner having passive acoustic characteristics determined in accordance with passive parameter settings; a group of error sensors, each error sensor sensing an acoustic disturbance in the acoustic plant and generating an error signal in response thereto; and an electronic controller that receives the error signals from the error sensors and outputs correction signals to selectively adjust the passive parameter settings of the adjustable tuner, the electronic controller having: a narrow band filtering and processing element that receives the error signals from the error sensors and for each error signal outputs a processed error signal representing the magnitude of the acoustic disturbance within a frequency bandwidth containing the disturbance desired to be attenuated, and a summer that inputs the separate processed error signals and outputs a group processed error signal that is used when the electronic controller adapts the passive parameter settings for the adjustable tuner, wherein the narrow band filtering and processing element includes: a frequency-shifting multiplier that receives the error signal from each error sensor and for each error signal outputs a frequency-shifted error signal; and a fixed narrow bandpass filter that inputs the frequency-shifted error signals.
  • 11. An adaptive passive acoustic attenuation system as recited in claim 10 wherein the fixed narrow bandpass filter outputs a plurality of filtered disturbance signals and the narrow band filtering and processing element further includes a multiplier that multiplies each of the filtered disturbance signals by itself to output respective squared disturbance signals, and a time averager that inputs the squared disturbance signals and outputs the plurality of separate processed error signals.
  • 12. An adaptive passive acoustic attenuation system as recited in claim 10 further comprising a broad bandpass filter that inputs the error signals from the error sensors and outputs a plurality of pre-filtered error signals to the frequency shifting multiplier.
  • 13. A method of passively attenuating acoustic disturbances in an acoustic plant, the method comprising the steps of:providing at least one adjustable tuner that communicates acoustically with an acoustic plant; sensing a disturbance in the acoustic plant at a plurality of several distinct physical locations within the acoustic plant to generate a plurality of error signals; frequency-shifting the error signals from the error sensor by multiplying each error signal by a heterodyning tone signal to generate a plurality of frequency-shifted error signals; filtering the frequency-shifted error signals through a fixed narrow bandpass filter to generate a plurality of filtered disturbance signals; estimating the energy of the plurality of filtered disturbance signals; and setting the adjustable tuner so that the sum of estimated energy is minimized.
  • 14. The method as recited in claim 13 further comprising the step of:pre-filtering the plurality of error signals through a broad bandpass filter before frequency-shifting the error signals from the error sensors.
  • 15. A method as recited in claim 13 wherein the step of estimating the energy of the plurality of filtered disturbance signals is accomplished in accordance with the following expression:Emergy Est.[k]=(α)(Energy Est.[k−1])+(fds[k])(1−α) where (fds[k]) is the frequency-shifted filtered disturbance signal at time k, and α is a time averaging weighting constant 0≦α≦1, Energy Est. [k] is the energy estimate at time k and Energy Est. [k−1] is the energy estimate at time k−1.
  • 16. A method as recited in claim 13 wherein the heterodyning tone signal is determined by tracking the frequency of the undesired disturbance in the acoustic plant and selecting the heterodyne tone signal so that the disturbance being attenuated is represented in the frequency-shifted filtered disturbance signals such that the disturbance lies within the frequency range of the fixed narrow bandpass filter.
  • 17. A method as recited in claim 13 wherein the frequency of the disturbance within the acoustic plant is tracked by one of the error sensors.
  • 18. A method as recited in claim 13 wherein the frequency of the disturbance within the acoustic plant is tracked by a tachometer monitoring a source of the disturbance.
  • 19. A method as recited in claim 13 wherein the frequency of the disturbance within the acoustic plant is tracked by an input sensor located closer to a source of the disturbance than any of the adjustable tuners communicating acoustically with the acoustic plant.
  • 20. A method of passively attenuating a first narrow band acoustic disturbance in an acoustic plant and a second distinct narrow band acoustic disturbance in the acoustic plant, the method comprising the steps of:providing at least one first adjustable tuner communicating acoustically with the acoustic plant to attenuate the first narrow band disturbance; providing at least one second adjustable tuner communicating acoustically with the acoustic plant to attenuate the second narrow band disturbance; sensing disturbances in the acoustic plant at a plurality of several distinct physical locations within the acoustic plant to generate a plurality of error signals; frequency-shifting the error signals from the error sensors by multiplying each error signal by a first heterodyning tone signal to generate a plurality of first frequency-shifted error signals; filtering the first frequency-shifted error signals through a fixed narrow bandpass filter to generate a plurality of first filtered disturbance signals; estimating the energy of the plurality of first filtered disturbance signals; setting the at least one first adjustable tuner so that the sum of the estimated total energy represented by the first filtered disturbance signals is minimized; frequency-shifting the error signals from the error sensors by multiplying each error signal by a second heterodyning tone signal to generate a plurality of second frequency-shifted error signals; filtering the second frequency-shifted error signals through the fixed narrow bandpass filter to generate a plurality of second filtered disturbance signals; estimating the energy of the second plurality of filtered disturbance signals; and setting the at least one second adjustable tuner so that the sum of the estimated total energy represented by the second filtered disturbance signals is minimized.
  • 21. A method as recited in claim 20 wherein the at least one first adjustable tuner is one of a first plurality of adjustable tuners and the at least one second adjustable tuner is one of a second plurality of adjustable tuners, and the first plurality of adjustable tuners consists of a set of multiple banks of adjustable tuners and the second plurality of adjustable tuners consists of a second set of multiple banks of adjustable tuners, each adjustable tuner having passive acoustical characteristics determined in accordance with passive parameter settings; andwherein adapting the system comprises contemporaneously adjusting the passive parameter settings for all of the tuners in one of the banks to vary the acoustic disturbance sensed by the error sensors while the tuners in the other banks remain stationary.
  • 22. A method of passively attenuating a plurality of narrow band acoustic disturbances in an acoustic plant, the method comprising the steps of:providing a plurality of adjustable tuners communicating acoustically with the acoustic plant to attenuate a plurality of narrow band acoustic disturbances; sensing disturbances in the acoustic plant at a plurality of several distinct physical locations within the acoustic plant to generate a plurality of error signals; frequency-shifting the error signals from the error sensors by multiplying each eerror signal by a respective heterodyning tone signal to generate a plurality of corresponding frequency-shifted error signals; filtering each of the corresponding frequency-shifted error signals through a fixed narrow bandpass filter to generate a plurality of corresponding filtered disturbance signals; estimating the energy of the plurality of corresponding filtered disturbance signals for each respective narrow band acoustic disturbance; assigning at least one adjustable tuner to attenuate each respective narrow band acoustic disturbance; and setting each respective adjustable tuner so that the sum of the estimated total energy represented by the filtered disturbance signals corresponding to the respective narrow band acoustic disturbance is minimized.
US Referenced Citations (23)
Number Name Date Kind
3620330 Hall Nov 1971
3642095 Fujii Feb 1972
3712412 Hassett et al. Jan 1973
4044203 Swinbanks Aug 1977
4665549 Eriksson et al. May 1987
4677676 Eriksson Jun 1987
4677677 Eriksson Jun 1987
5044464 Bremigan Sep 1991
5088575 Eriksson Feb 1992
5119427 Hersh et al. Jun 1992
5206911 Eriksson Apr 1993
5216721 Melton Jun 1993
5216722 Popovich Jun 1993
5377629 Brackett et al. Jan 1995
5390255 Popovich Feb 1995
5418873 Eriksson May 1995
5420932 Goodman May 1995
5446249 Goodman et al. Aug 1995
5513266 Zuroski Apr 1996
5541373 Cheng Jul 1996
5598479 Dodt et al. Jan 1997
5621656 Langley Apr 1997
5628287 Brackett et al. May 1997
Foreign Referenced Citations (2)
Number Date Country
0636207B1 Jun 1997 EP
WO9215088 Sep 1992 WO
Non-Patent Literature Citations (16)
Entry
“Reduction of Centrifugal Fan Noise By Use Of Resonators”, W. Neise et al, Journal of Sound and Vibration, 73(2), 1980, pp. 297-308.
“The Use of Resonators To Silence Centrifugal Blowers”, G.H. Koopman et al, Nelson Acoustics Conference, Madison, Wisconsin, Jul. 15-16, 1981.
“The Use of Resonators To Silence Centrifugal Blowers”, G.H. Koopman et al, Journal of Sound and Vibration, 82(1), 1982, pp. 17-27.
“Active Noise Control To Reduce The Noise of Centrifugal Fans”, G.H. Koopman et al, 1985 ASME Ind. Poll. Cont. Sym., Dallas, TX, Feb. 17-21, 1985, pp. 31-36.
“An Actively Tuned, Passive Muffler System For Engine Silencing”, J.S. Lamancusa, Noise-Con 87, The Pennsylvania State University, State College, PA., Jun. 8-10, 1987, pp. 313-318.
Acoustics of Ducts and Mufflers With Application To Exhaust And Ventilation System Design, M.L. Munjal, John Wiley & Sons, 1987, pp. 68-71.
“Active Source Cancellation of the Blade Tone Fundamental and Harmonics in Centrifugal Fans”, G.H. Koopman et al, Journal of Sound and Vibration, 126(2), 1988, pp. 209-220.
“Characteristics of Dual Mode Mufflers”, E. Suyama et al, Society of Automotive Engineers, Inc., Paper No. 890612, 1989.
“Muffler System Controlling An Aperture Neck of a Resonator”, T. Izumi et al, International Symposium on Active Control of Sound and Vibration, Apr. 9-11, 1991, Tokyo, Japan, pp. 261-266.
“Advanced Design of Automotive Exhaust Silencers Systems”, P. Krause et al, Society of Automotive Engineers, Inc., Paper No. 922088, 1992.
“Semiactive Control of Duct Noise by a Volumne-Variable Resonator”, H. Matsuhisa et al, JSME International Journal, Series III, vol. 35, No. 2, pp. 223-228
“Adaptive-Passive Noise Control”, R.J. Bernhard et al, Inter-Noise, Toronto, Ontario, Canada, Jul. 20-22, 1992, pp. 427-430.
“Adaptive Tuned Vibration Absorbers: Tuning Laws, Tracking Agility, Sizing, And Physical Implementations”, A.H. von Flotow et al, Noise-Con 94, Ft. Lauderdale, Florida, May 1-4, 1994, pp. 437-454.
“The State of The Art of Active-Passive Noise Control”, R.J. Bernhard, Noise-Con 94, Ft. Lauderdale, FL, May 1-4, 1994, pp. 421-428.
“Adaptive-Passive Noise Control With Self-Tuning Helmholtz Resonators”, J.M. DeBedout et al, Journal of Sound And Vibration, 1997, 202(1), pp. 109-123.
“Semi-Active Noise Control By A Resonator With Variable Parameters”, S. Sato et al, Inter-Noise 90, pp. 1305-1308.