Methods and apparatus for driving a transducer

Information

  • Patent Grant
  • 10795443
  • Patent Number
    10,795,443
  • Date Filed
    Monday, December 3, 2018
    5 years ago
  • Date Issued
    Tuesday, October 6, 2020
    4 years ago
Abstract
Embodiments described herein relate to methods and apparatus for driving a haptic transducer with a driving signal. The method comprises estimating, based on a current through the haptic transducer and a terminal voltage across the haptic transducer, a back electromotive force, EMF, voltage representative of a velocity of a mass in the haptic transducer; comparing a phase of a voltage signal derived from the terminal voltage with a phase of the estimated back EMF voltage; and based on the comparison, adjusting a frequency or a phase of an output signal, wherein the driving signal is derived from the output signal, such that a frequency of the driving signal converges to a resonant frequency of the haptic transducer.
Description
TECHNICAL FIELD

Embodiments described herein relate to methods and apparatus for driving a transducer, for example a haptic transducer, at a resonant frequency of the transducer.


BACKGROUND

Vibro-haptic transducers, for example linear resonant actuators (LRAs), are widely used in portable devices such as mobile phones to generate vibrational feedback to a user. Vibro-haptic feedback in various forms creates different feelings of touch to a user's skin, and may play increasing roles in human-machine interactions for modern devices.


An LRA may be modelled as a mass-spring electro-mechanical vibration system. When driven with appropriately designed or controlled driving signals, an LRA may generate certain desired forms of vibrations. For example, a sharp and clear-cut vibration pattern on a user's finger may be used to create a sensation that mimics a mechanical button click. This clear-cut vibration may then be used as a virtual switch to replace mechanical buttons.



FIG. 1 illustrates an example of a vibro-haptic system in a device 100. The device comprises a controller 101 configured to control a signal applied to an amplifier 102. The amplifier 102 then drives the haptic transducer 103 based on the signal. The controller 101 may be triggered by a trigger to output to the signal. The trigger may for example comprise a pressure or force sensor on a screen of the device 100.


Among the various forms of vibro-haptic feedback, tonal vibrations of sustained duration may play an important role to notify the user of the device of certain predefined events, such as incoming calls or messages, emergency alerts, and timer warnings etc. In order to generate tonal vibration notifications efficiently, it may be desirable to operate the haptic actuator at its resonance frequency.


The resonance frequency f0 of a haptic transducer may be approximately estimated as:











f
0

=

1

2

π


CM




,




(
1
)







where, C is the compliance of the spring system, and M is the equivalent moving mass, which may be determined based on both the actual moving part in the haptic transducer and the mass of the portable device holding the haptic transducer.


Due to sample-to-sample variations in individual haptic transducers, mobile device assembly variations, temporal component changes caused by aging, and use conditions such as various different strengths of a user gripping of the device, the vibration resonance of the haptic transducer may vary from time to time.



FIG. 2 illustrates an example of a Linear Resonant Actuator (LRA) modelled as a linear system. LRAs are non-linear components that may behave differently depending on, for example, the voltage levels applied, the operating temperature, and the frequency of operation. However, these components may be modelled as linear components within certain conditions. In this example, the LRA is modelled as a third order system having electrical and mechanical elements.


In particular, Re and Le are the DC resistance and coil inductance of the coil-magnet system, respectively; and Bl is the magnetic force factor of the coil. The driving amplifier outputs the voltage waveform V(t) with the output impedance Ro. The terminal voltage VT(t) may be sensed across the terminals of the haptic transducer. The mass-spring system 201 moves with velocity u(t).


SUMMARY

According to some embodiments, there is therefore provided a method for driving a haptic transducer with a driving signal. The method comprises estimating, based on a current through the haptic transducer and a terminal voltage across the haptic transducer, a back electromotive force, EMF, voltage representative of a velocity of a mass in the haptic transducer; comparing a phase of a voltage signal derived from the terminal voltage with a phase of the estimated back EMF voltage; and based on the comparison, adjusting a frequency and/or a phase of an output signal, wherein the driving signal is derived from the output signal, such that a frequency of the driving signal converges to a resonant frequency of the haptic transducer.


A resonant frequency tracker is provided for driving a haptic transducer with a driving signal, the resonance-frequency tracker comprising: a back electromotive force, EMF, modelling module configured to estimate, based on a current through the haptic transducer and a terminal voltage across the haptic transducer, a back-EMF voltage representative of a velocity of a mass in the haptic transducer; and a controlling circuitry configured to: receive a voltage signal derived from the terminal voltage; compare a phase of the voltage signal with a phase of the estimated back EMF voltage, and based on the comparison, adjust a frequency and/or a phase of an output signal output by the controller, wherein the driving signal is derived from the output of the controller, such that a frequency of the driving signal converges to a resonant frequency of the haptic transducer.


According to some embodiments, there is provided an electronic apparatus. The electronic apparatus comprises a haptic transducer; and a resonant frequency tracker comprising: a back electromotive force, EMF, modelling module configured to estimate, based on a current through the haptic transducer and a terminal voltage across the haptic transducer, a back-EMF voltage representative of a velocity of a mass in the haptic transducer; and a controller configured to: receive a voltage signal derived from the terminal voltage; compare a phase of the voltage signal with a phase of the estimated back EMF voltage, and based on the comparison, adjust a frequency and/or a phase of an output signal output by the controller, wherein the driving signal is derived from the output of the controller, such that a frequency of the driving signal converges to a resonant frequency of the haptic transducer.





BRIEF DESCRIPTION OF THE DRAWINGS

For a better understanding of the embodiments of the present disclosure, and to show how it may be put into effect, reference will now be made, by way of example only, to the accompanying drawings, in which:



FIG. 1 illustrates an example of a vibro-haptic system in a device in accordance with the prior art;



FIG. 2 illustrates an example of a Linear Resonant Actuator (LRA) modelled as a linear system in accordance with the prior art;



FIG. 3 illustrates an example of a resonant frequency tracker for driving a haptic transducer with a driving signal in accordance with some embodiments of the present disclosure;



FIG. 4 illustrates an example of a resonant frequency tracker for driving a haptic transducer with a driving signal in accordance with some embodiments of the present disclosure;



FIG. 5 illustrates an example of a resonant frequency tracker for driving a haptic transducer with a driving signal in accordance with some embodiments of the present disclosure;



FIG. 6 is a flowchart illustrating a method for driving a haptic transducer with a driving signal in accordance with some embodiments of the present disclosure.





DESCRIPTION

The description below sets forth example embodiments according to this disclosure. Further example embodiments and implementations will be apparent to those having ordinary skill in the art. Further, those having ordinary skill in the art will recognize that various equivalent techniques may be applied in lieu of, or in conjunction with, the embodiment discussed below, and all such equivalents should be deemed as being encompassed by the present disclosure.


Various electronic devices or smart devices may have transducers, speakers, any acoustic output transducers, for example any transducer for converting a suitable electrical driving signal into an acoustic output such as a sonic pressure wave or mechanical vibration. For example, many electronic devices may include one or more speakers or loudspeakers for sound generation, for example, for playback of audio content, voice communications and/or for providing audible notifications.


Such speakers or loudspeakers may comprise an electromagnetic actuator, for example a voice coil motor, which is mechanically coupled to a flexible diaphragm, for example a conventional loudspeaker cone, or which is mechanically coupled to a surface of a device, for example the glass screen of a mobile device. Some electronic devices may also include acoustic output transducers capable of generating ultrasonic waves, for example for use in proximity detection type applications and/or machine-to-machine communication.


Many electronic devices may additionally or alternatively include more specialized acoustic output transducers, for example, haptic transducers, tailored for generating vibrations for haptic control feedback or notifications to a user. Additionally or alternatively an electronic device may have a connector, e.g. a socket, for making a removable mating connection with a corresponding connector of an accessory apparatus and may be arranged to provide a driving signal to the connector so as to drive a transducer, of one or more of the types mentioned above, of the accessory apparatus when connected. Such an electronic device will thus comprise driving circuitry for driving the transducer of the host device or connected accessory with a suitable driving signal. For acoustic or haptic transducers, the driving signal will generally be an analog time varying voltage signal, for example, a time varying waveform.


As previously mentioned, driving a haptic transducer at resonance frequency may be useful for some types of haptic application.


Referring to FIG. 2, the back electromotive force (EMF) voltage, VB(t) of the haptic transducer is related to the velocity u(t) of the moving mass inside the haptic transducer by:

VB(t)=Bl·u(t).  (2)


Whether or not the driving signal V(t) is at the resonance frequency of the haptic transducer may be determined from a comparison between the back-EMF, VB(t) in the haptic transducer, and the terminal voltage, VT(t). For example, if the phase of VB(t) is lagging or leading the terminal voltage VT(t), the driving signal V(t) may be adjusted such that the phase of VB(t) is in line with the phase of VT(t). In general, the back EMF voltage VB(t) may not be directly measured from outside of the haptic transducer. However, the terminal voltage VT(t) measured at the terminals of the haptic transducer, may be related to VB(t) by:












V
T



(
t
)


=



V
B



(
t
)


+

Re
·

I


(
t
)



+

Le
·


dI


(
t
)


dt




,




(
3
)







where the parameters are defined as described with reference to FIG. 2.


The haptic transducer terminal voltage itself may only therefore approximate the back-EMF voltage VB(t) at times when the current I(t) has levels that are very close to zero, and when the driving voltage V(t) is also close to zero. In other words:

VT(t)≈VB(t)  (4)
when
V(t)→0, and  (5)
I(t)→0.  (6)


From FIG. 2, it may also be seen that:

VT(t)=V(t)−Ro·I(t),  (7)


which further implies that, even at zero-crossings of the driving voltage V(t), the usually very small playback output impedance Ro of the amplifier may be short-circuiting the terminal and making the level of measurable terminal voltage VT(t) too low to be sensed accurately, as shown by:

VB(t)≈VT(t)=V(t)−Ro·I(t)→0, if Ro<<1.  (8)


This difficulty in sensing the terminal voltage VT(t) close to zero-crossings means that the amplifier may need to be switched into a high impedance mode Ro→0 quickly during zero-crossings of the driving signal; otherwise, the level of terminal voltage VT(t)≈VB(t) may be too low to be sensed with acceptable accuracy.


Measuring the back-EMF voltage VB(t) across the terminals of the haptic transducer may therefore only allow for sensing of the back-EMF voltage VB(t) during zero-crossings of the terminal voltage. Furthermore, it may require extra amplifier hardware designs that switch the driving amplifier into a high-impedance mode during the zero-crossings, in order for the back-EMF voltage to be sensed with appropriate accuracy, because the voltage level across the terminals of the haptic transducer may be reduced if the impedance of the amplifier is not high enough.



FIG. 3 illustrates an example resonant frequency tracker 300 for driving a haptic transducer 301 with a driving signal V(t) in accordance with some embodiments.


The resonance-frequency tracker 300 comprises a back electromotive force, EMF, modelling module 302 configured to estimate, based on a current through the haptic transducer, I(t) and a terminal voltage VT(t) across the haptic transducer 301, a back-EMF voltage custom character(t) representative of a velocity of a mass in the haptic transducer 301. For example, the back-EMF voltage may be modelled according to equation (3) which may be rearranged as:











V
B



(
t
)


=



V
T



(
t
)


-

Re
·

I


(
t
)



-

Le








dI


(
t
)


dt

.







(
9
)







A further example of how the back-EMF may be modelled based on the current, I(t) and a terminal voltage VT(t), is described with reference to FIG. 5 below.


In this example, the sensed terminal voltage VT(t) is first converted to a digital representation by a first analog-to-digital converter (ADC) 303. Similarly, in this example, the sensed current I(t) is converted to a digital representation by a second ADC 304. The current I(t) may be sensed across a shunt resistor Rs coupled to a terminal of the haptic transducer 301. The terminal voltage VT(t) may be sensed by a terminal voltage sensing block 307, for example a volt meter.


The resonance-frequency tracker 300 further comprises a controller 305 configured to receive a voltage signal custom character(t) derived from the terminal voltage VT(t). In some examples, the voltage signal custom character(t) comprises a processed version of the terminal voltage VT(t), wherein the terminal voltage VT(t) is processed by processing block 308. In some examples, the voltage signal custom character(t) comprises the terminal voltage, VT (t).


The controller 305 may be configured to compare a phase of the voltage signal, custom character(t) with a phase of the estimated back EMF voltage custom character(t), and, based on the comparison, adjust a frequency and/or a phase of an output signal, x(t) output by the controller. The driving signal, V(t) may then be derived from the output signal x(t) of the controller 305, such that a frequency of the driving signal V(t) converges to a resonant frequency of the haptic transducer 301.


For example, the output signal x(t) output by the controller 305 may be amplified by amplifier 306 to generate the driving signal V(t).


For example, the controller 305 may comprise a feedback controller, for example a phase locked loop. The phase-locked loop may therefore be configured to alter the frequency and/or phase of the output signal x(t) in order to lock the phase of the voltage signal custom character(t) across the haptic transducer to the estimated back EMF voltage custom character(t) in the haptic transducer 301. By locking the phase of the voltage signal custom character(t) to the estimated back EMF voltage custom character(t), the frequency of the driving signal V(t) will converge to a resonant frequency of the haptic transducer 301.



FIG. 4 illustrates a resonant frequency tracker 400 for driving a haptic transducer 301 with a driving signal V(t) in accordance with some embodiments. Similar features in FIG. 4 are given the same reference numbers as in FIG. 3.


In this example, the controller 305 comprises a phase locked loop (PLL) 305. The PLL uses the estimated back EMF voltage custom character(t) as a reference signal. The frequency of the output signal x(t) is adjusted according to the phase different information between custom character(t) and custom character(t).


The PLL 305 may also estimate the frequency {circumflex over (f)}0(t) of the reference signal. The PLL 305 may comprise a voltage-controlled oscillator (VCO), or a digital controlled oscillator (DCO), which may be configured as a sinusoidal signal generator. The VCO or DCO may commence oscillation at around a quiescent frequency fC. The instantaneous phase and frequency of the output signal x(t) may then be adapted according to a filtered and/or smoothed phase difference between the input reference signal custom character(t) and the voltage signal custom character(t). For example, if the phase of the voltage signal custom character(t) is leading the reference signal custom character(t), then the phase increment of the output signal x(t) may be decreased to make the terminal voltage oscillate slower. Furthermore, if the phase of the voltage signal custom character(t) is lagging the estimated back-EMF, then the phase increment of the output signal x(t) may be increased so that the voltage signal custom character(t) oscillates faster.


This control operation may allow the frequency of the terminal voltage converge and the frequency of the driving signal derived from the output signal x(t), to converge to the resonant frequency of the back-EMF VB(t) in the transducer.


In this example, the sinusoidal signal x(t) generated by the PLL 305 is processed by a non-linear device (NLD) 401 to achieve waveform shaping effects. For example, it may be desirable for the shape of the waveform to be closer to a square wave for haptic applications. The output y(t) of the NLD 401 may then be amplified by amplifier 306 to generate the driving signal V(t).


In other words, the NLD 401 is coupled to receive the output signal x(t), wherein the NLD 401 shapes a waveform of the output signal x(t) to control a shape of the driving signal V(t) for driving the haptic transducer 301.


The driving signal V(t) may therefore converge to the resonant frequency of the transducer 301 to make sustained tonal notification or feedback to the user at the resonant frequency of the transducer 301.


The back EMF modelling module 302 may be configured to estimate the back EMF voltage custom character(t) continuously, which may enable continuous phase comparison between the back-EMF custom character(t) and the voltage signal custom character(t), and therefore a continuous adjustment procedure in the PLL 305. By modelling the back-EMF based on the current I(t) and terminal voltage VT(t) across the transducer 301, the need for amplifier impedance mode switches may be avoided. This modelling may reduce the hardware complexity and the sizes of the integrated circuitry for the amplifier, as no further hardware is required to implement a high impedance mode for the amplifier 306. The removal of impedance mode switching may also eliminate any impulsive noise caused by such mode switching.


The back-EMF modelling module 302 may be adaptive. However, in this example, it is appreciated that the back-EMF modelling module 302 may introduce some delay and may provide a delayed estimate of the back-EMF voltage custom character(t). Furthermore, depending on the implementation of the back-EMF modelling module 302, there may be latency and/or phase distortion between the terminal voltage VT(t) sensed across the transducer 301, and the back-EMF voltage custom character(t). The resonant frequency tracker 400 may therefore further comprise a compensator module 402 coupled and configured to delay the terminal voltage VT(t) to generate the voltage signal custom character(t). The delay applied by the compensator module 402 may be configured to equate to the delay caused by the back-EMF modelling module 302.



FIG. 5 illustrates an implementation of a resonant frequency tracker 500 according to some embodiments. Similar features have been given similar reference numbers to those in FIG. 4.


In this example, the resonant frequency tracker 500 comprises a pilot tone generator 501. The pilot tone generator 501 is coupled to the output of the controller 305. The pilot tone generator 501 may be configured to add a low frequency pilot tone to the output signal x(t) such that the driving signal V(t) comprises the low frequency pilot tone.


In this example, the pilot tone generator is coupled to the output of the controller via the NLD 401. In this example, therefore the pilot tone generator 501 is configured to add a low frequency pilot tone to the signal y(t) such that the driving signal V(t) comprises the low frequency pilot tone.


The frequency of the pilot tone is set to be low so that the pilot tone does not interfere with the driving signal to the transducer. For example, the frequency of the pilot tone may be less than 50 Hz. In other words, the frequency of the pilot tone may be selected such that it is out of the sensitivity range of human vibro-haptic perception (for example, out of the 100 Hz to 300 Hz frequency band). The pilot tone may improve the accuracy of the back-EMF voltage custom character(t) as will be described below.


As described previously, the back-EMF voltage custom character(t) may be modelled as described in equation (9). However, assuming the resonant frequency of the transducer 301 is low, the inductor of the coil may be neglected. This assumption leaves an estimation of the back-EMF voltage custom character(t) as:

custom character(t)≈VT(t)−Re·1(t),  (10)


Equation (10) may therefore provide an adaptive estimate of the back-EMF voltage custom character(t) based on the terminal voltage VT(t) and the current I(t) without having to track the change in I(t) over time. Equation (10) therefore provides a real-time estimate of the back-EMF voltage custom character(t).


An estimate of the DC-Resistance Re of the coil may therefore determine the quality and/or accuracy of the estimated back-EMF voltage custom character(t).


The value of the DC-Resistance Re of the coil may vary as a function of the coil temperature, which may be affected by not only the thermal energy transferred by the driving signal, but also the environmental temperature. To track the DC-Resistance Re parameter, the pilot tone may therefore be used. By injecting the pilot tone, comprising a small amount of energy, at a frequency very close to the direct current (DC) band, the conditions for tracking the DC-resistance may be improved.


In this example, the back-EMF modelling module 302 comprises a DC-resistance tracker 502. The DC-resistance tracker 502 receives the terminal voltage and current across the transducer at the pilot tone frequency, i.e. VTLP(t) and ILP(t), which are extracted from the sensed terminal voltage VT(t) and sensed current I(t) by a low pass filter 503 configured to filter at around the pilot tone frequency.


The DC-resistance tracker 502 may then calculate the DC-resistance as:











Re


(
t
)


=





V
T
LP



(
t
)









I
LP



(
t
)




+
μ



,




(
11
)







where μ may be included as a small positive number to prevent division by zero.


In some examples, smoothing of the DC-resistance may be performed. For example, by:

Re=γRe+(1−γ)Re(t),  (12)


where γ is a factor (0<<γ<1) for smoothing the instantaneous estimate Re(t).


The back-EMF modelling module 302 may then multiply the output of the DC-resistance tracker 502 by the sensed current I(t) and may subtract the result from the sensed terminal voltage VT(t), giving an estimate of the back-EMF voltage custom character(t) according to equation (10).


In this example, the PLL 305 comprises a phase detector 504, an amplifier 505 configured to amplify the output of the phase detector, a low pass loop filter 506 and an integrating smoother 507 configured to filter and smooth the output of the amplifier 505. A VCO or DCO 508 may then generate the instantaneous frequency {circumflex over (f)}0(t) based on the filtered and smoothed phase difference. In some examples, the PLL 305 may commence tracking of the resonance frequency with switch 513 in position B. In this position, the PLL compares the estimated back-EMF voltage custom character(t) to the output of the VCO or DCO 508. On initialization of the resonance frequency tracker 500, the output of the VCO or DCO 508 may be equal to an average or nominal resonance frequency of the transducer. After, for example, a single sample period, the switch may be moved to position A to receive the voltage signal custom character(t).


The VCO or DCO 508 may start from a quiescent or center frequency fC. The PLL 305 may be configured to set an initial value of the quiescent or center frequency to be a predetermined value F0 associated with a haptic transducer. For example, F0 may be an average or nominal resonance frequency of the transducer. In some examples, as illustrated in FIG. 4, the quiescent frequency may be set as a constant value. For example:

fC=F0.  (13)


In some examples, the nominal resonant frequency of a batch of transducers may be obtained from a specification of the transducer component provided by a manufacture of the transducer component, or the nominal resonant frequency may be derived from measurements of test samples in a particular batch.


As the control of the PLL 305 converges, the instantaneous frequency of the output signal x(t) will converge to the resonance frequency f0 of the transducer 301. In other words:

f(t)={circumflex over (f)}0(t)→f0,  (14)


From equation (1), it can be observed that variations in resonance frequency from transducer to transducer depend on variations in the spring compliance C and the equivalent moving mass M, both of which may be likely to change throughout the lifetime of a transducer. Sample-to-sample variations, aging and device playback conditions are all potential causes of such changes. The variations in resonant frequency may in some examples be quite large, which may require the PLL 305 to track such a large frequency variation from the nominal frequency F0 quite quickly.


To enable fast frequency acquisition, the quiescent frequency may be adapted according to information obtained from the instantaneously estimated resonance frequency {circumflex over (f)}0(t). For example, instead of selecting a constant quiescent frequency, as illustrated in FIG. 4, and in equation (13), an adaptively smoothed average may be performed for the adaptation of the quiescent or center frequency. For example, the following averaging procedure may be applied:

fC(t)=αfc(t−1)+(1−α)·{circumflex over (f)}0(t).  (15)


where α (0<<α<1) is the smoothing factor.


For example, utilizing the switch 509 between positions C and D, the PLL may start the resonance frequency tracking with the switch 509 in position C, setting the initial value of fC (t) to the nominal value of F0. In other words:

fC(0)=F0.  (16)


After a single sample period has passed, the switch may change to position D. In this position, the adaptation block 510 may dynamically adapt the quiescent frequency fC(t) according to equation (15).


In some examples, to avoid potential abrupt errors in frequency acquisition, the adaptive quiescent or center frequency may be bounded to be within a predetermined frequency range that represents an expected range of the resonant frequency of the haptic transducer.


For example:

fC(t)=fCL, if fC(t)<fCL,  (17)
and
fC(t)=fCH, if fC(t)>fCH.  (18)


The predetermined frequency range [fCL, fCH] may approximately cover a maximum expected variation of resonant frequency of the transducer 301.


In the example illustrated in FIG. 5, the resonance frequency tracker 500 further comprises two band pass filters. A first band pass filter 511 is coupled to receive the output of the back-EMF modelling module 302. A second band pass filter 512 is coupled to receive the output of the compensator module 402.


The first band pass filter 511 may be configured to filter the output of the back-EMF modelling module 302 to remove pilot-tone interferences, errors from the estimated back-EMF voltage which may be caused by measurement noises in the sensed terminal voltage VT(t) and current I(t), and errors from the estimated back-EMF voltage custom character(t) caused by modelling inaccuracies in high frequency bands where the effects of coil inductances are non-negligible, in other words where equation (10) may not be valid.


Furthermore, the NLD 401 may introduce high order harmonic components above the fundamental frequency region, which again may be removed by the first band pass filter 511.


To reduce the potential effects mentioned above and to enable more accurate resonance tracking by the PLL 305, the second band pass filter 512 may filter the voltage signal custom character(t). In particular the second band pass filter 512 may provide the same filtering as the first band pass filter 511. The second band pass filter 512 may therefore remove pilot-tone interferences and noise caused by sensing the terminal voltage VT(t). By utilizing the same filtering in both the first band pass filter 511 and the second band pass filter 512, phase or latency mismatch between the voltage signal custom character(t) and the estimated back-EMF voltage custom character(t), which may cause errors in phase detection and degrade the performance of the PLL 305, may be avoided.


The first band pass filter 511 and the second band pass filter 512 may be provided with a low cut off frequency voltage fL and a high cut off frequency fH.


The low cut off frequency fL may be larger than the pilot tone frequency fP, and larger than a sensitivity lower bound for human haptic perception, fhpL.


The high cut off frequency fH may be higher than the sensitivity upper bound for human haptic perception fhpL, but lower than the frequency at which coil inductance may start to have an effect fLe.


It will be appreciated that resonant frequency tracker 300, 400 or 500 illustrated in FIG. 3, 4 or 5 may be implemented on an integrated circuit forming part of an electronic apparatus. For example, the electronic apparatus may comprise a haptic transducer 301 coupled to receive a driving signal from an amplifier 306, as illustrated in FIGS. 3, 4 and 5. The integrated circuit comprising the resonant frequency tracker 300, 400 or 500 may then control the driving signal as described with reference to any one of FIG. 3, 4 or 5.


The electronic apparatus may comprise is at least one among: a portable device; a battery power device; a computing device; a communications device; a gaming device; a mobile telephone; a personal media player; a laptop, tablet or notebook computing device.



FIG. 6 illustrates a method for driving a haptic transducer with a driving signal. The method may be performed by a resonance frequency tracked as illustrated in any one of FIG. 3, 4 or 5.


In step 601, the method comprises estimating, based on a current through the haptic transducer and a terminal voltage across the haptic transducer, a back electromotive force, EMF, voltage representative of a velocity of a mass in the haptic transducer.


In step 602, the method comprises comparing a phase of a voltage signal derived from the terminal voltage with a phase of the estimated back EMF voltage.


In step 603, the method comprises based on the comparison, adjusting a frequency and/or a phase of an output signal, wherein the driving signal is derived from the output signal, such that a frequency of the driving signal converges to a resonant frequency of the haptic transducer.


Methods and apparatus are provided for tracking a resonant frequency of a transducer, for example a haptic transducer. In particular, an estimate of the back-EMF voltage across the transducer may be made based on a terminal voltage and current through the transducer. This back-EMF voltage may then be used to adjust the driving signal, such that a frequency of the driving signal converges to a resonant frequency of the transducer.


It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design many alternative embodiments without departing from the scope of the appended claims. The word “comprising” does not exclude the presence of elements or steps other than those listed in the claim, “a” or “an” does not exclude a plurality, and a single feature or other unit may fulfill the functions of several units recited in the claims. Any reference numerals or labels in the claims shall not be construed so as to limit their scope. Terms such as amplify or gain may comprise applying a scaling factor of less than unity to a signal.


It will of course be appreciated that various embodiments of the analog conditioning circuit as described above or various blocks or parts thereof may be co-integrated with other blocks or parts thereof or with other functions of a host device on an integrated circuit such as a Smart Codec.


The skilled person will thus recognize that some aspects of the above-described apparatus and methods may be embodied as processor control code, for example on a non-volatile carrier medium such as a disk, CD- or DVD-ROM, programmed memory such as read only memory (Firmware), or on a data carrier such as an optical or electrical signal carrier. For many applications embodiments of the invention will be implemented on a DSP (Digital Signal Processor), ASIC (Application Specific Integrated Circuit) or FPGA (Field Programmable Gate Array). Thus, the code may comprise conventional program code or microcode or, for example code for setting up or controlling an ASIC or FPGA. The code may also comprise code for dynamically configuring re-configurable apparatus such as re-programmable logic gate arrays. Similarly, the code may comprise code for a hardware description language such as Verilog™ or VHDL (Very high speed integrated circuit Hardware Description Language). As the skilled person will appreciate, the code may be distributed between a plurality of coupled components in communication with one another. Where appropriate, the embodiments may also be implemented using code running on a field-(re)programmable analogue array or similar device in order to configure analogue hardware.


It should be understood—especially by those having ordinary skill in the art with the benefit of this disclosure—that the various operations described herein, particularly in connection with the figures, may be implemented by other circuitry or other hardware components. The order in which each operation of a given method is performed may be changed, and various elements of the systems illustrated herein may be added, reordered, combined, omitted, modified, etc. It is intended that this disclosure embrace all such modifications and changes and, accordingly, the above description should be regarded in an illustrative rather than a restrictive sense.


Similarly, although this disclosure makes reference to specific embodiments, certain modifications and changes can be made to those embodiments without departing from the scope and coverage of this disclosure. Moreover, any benefits, advantages, or solution to problems that are described herein with regard to specific embodiments are not intended to be construed as a critical, required, or essential feature of element.


Further embodiments likewise, with the benefit of this disclosure, will be apparent to those having ordinary skill in the art, and such embodiments should be deemed as being encompasses herein.

Claims
  • 1. A method for driving a haptic transducer with a driving signal, the method comprising: estimating, based on a current through the haptic transducer and a terminal voltage across the haptic transducer, a back electromotive force, EMF, voltage representative of a velocity of a mass in the haptic transducer;comparing a phase of a voltage signal derived from the terminal voltage with a phase of the estimated back EMF voltage; andbased on the comparison, adjusting a frequency or a phase of an output signal, wherein the driving signal is derived from the output signal, such that a frequency of the driving signal converges to a resonant frequency of the haptic transducer.
  • 2. The method of claim 1 wherein the step of adjusting comprises utilizing a phase locked loop to converge the frequency of the output signal to the resonance frequency of the estimated back EMF voltage.
  • 3. The method of claim 2 wherein, the step of adjusting comprises adjusting the frequency of the output signal around a quiescent or a center frequency by: setting an initial value of the quiescent or center frequency to be a predetermined value associated with the haptic transducer, andadapting the quiescent or center frequency according to a smoothed instantaneous frequency of the driving signal.
  • 4. The method of claim 3 wherein the adaptive quiescent or center frequency is bounded to be within a predetermined frequency range that represents an expected range of the resonant frequency of the haptic transducer.
  • 5. The method of claim 1 further comprising: sensing the terminal voltage; anddelaying the terminal voltage to generate the voltage signal.
  • 6. The method of claim 1 further comprising: shaping a waveform of the output signal to control a shape of the driving signal for driving the haptic transducer.
  • 7. The method of claim 1 further comprising: adding a low frequency pilot tone to the output signal, such that the driving signal comprises the low frequency pilot tone.
  • 8. A resonant frequency tracker for driving a haptic transducer with a driving signal, the resonance-frequency tracker comprising: a back electromotive force, EMF, modelling module configured to estimate, based on a current through the haptic transducer and a terminal voltage across the haptic transducer, a back-EMF voltage representative of a velocity of a mass in the haptic transducer; and
  • 9. The resonant frequency tracker of claim 8 wherein the controller comprises a phase locked loop, PLL, module configured to converge the frequency of the output signal to the resonance frequency of the estimated back EMF voltage.
  • 10. The resonant frequency tracker of claim 9 wherein the PLL module is configured to determine the frequency of the driving signal.
  • 11. The resonant frequency tracker of claim 9 wherein the PLL module adjusts the frequency of the output of the controller around a quiescent or a center frequency, wherein the PLL module is configured to: set an initial value of the quiescent or center frequency to be a predetermined value associated with the haptic transducer, andadapt the quiescent or center frequency according to a smoothed instantaneous frequency of the driving signal.
  • 12. The resonant frequency tracker of claim 11 wherein the adaptive quiescent or center frequency is bounded to be within a predetermined frequency range that represents an expected range of the resonant frequency of the haptic transducer.
  • 13. The resonant frequency tracker of claim 8, further comprising: a terminal voltage sensing block configured to sense the terminal voltage; and
  • 14. The resonant frequency tracker of claim 8, further comprising a nonlinear device coupled to receive the output signal, wherein the nonlinear device shapes a waveform of the output signal to control a shape of the driving signal for driving the haptic transducer.
  • 15. The resonant frequency tracker of claim 8, further comprising: a pilot tone generator coupled to the output of the controller, wherein the pilot tone generator adds a low frequency pilot tone to the output signal such that the driving signal comprises the low frequency pilot tone.
  • 16. The resonant frequency tracker of claim 8 further comprising: a first band-pass filter configured to filter the estimated back EMF and to input the filtered estimated back EMF into the controller.
  • 17. The resonant frequency tracker of claim 16 further comprising: a second band-pass filter configured to filter the terminal voltage or a delayed terminal voltage, to generate the voltage signal, wherein the second band-pass filter matches the first band-pass filter.
  • 18. An electronic apparatus comprising: a haptic transducer; anda resonant frequency tracker comprising: a back electromotive force, EMF, modelling module configured to estimate, based on a current through the haptic transducer and a terminal voltage across the haptic transducer, a back-EMF voltage representative of a velocity of a mass in the haptic transducer; anda controller configured to:receive a voltage signal derived from the terminal voltage;
  • 19. An electronic apparatus as claimed in claim 18 wherein said electronic apparatus is at least one among: a portable device; a battery power device; a computing device; a communications device; a gaming device; a mobile telephone; a personal media player; a laptop, tablet or notebook computing device.
US Referenced Citations (129)
Number Name Date Kind
5748578 Schell May 1998 A
5857986 Moriyasu Jan 1999 A
6050393 Murai et al. Apr 2000 A
6388520 Wada et al. May 2002 B2
6580796 Kuroki Jun 2003 B1
6683437 Tierling Jan 2004 B2
6703550 Chu Mar 2004 B2
6762745 Braun et al. Jul 2004 B1
6906697 Rosenberg Jun 2005 B2
6995747 Casebolt et al. Feb 2006 B2
7154470 Tierling Dec 2006 B2
7623114 Rank Nov 2009 B2
7639232 Grant et al. Dec 2009 B2
7791588 Tierling et al. Sep 2010 B2
7979146 Ulrich et al. Jul 2011 B2
8068025 Devenyi et al. Nov 2011 B2
8098234 Lacroix et al. Jan 2012 B2
8102364 Tierling Jan 2012 B2
8325144 Tierling et al. Dec 2012 B1
8427286 Grant et al. Apr 2013 B2
8466778 Hwang et al. Jun 2013 B2
8572293 Cruz-Hernandez et al. Oct 2013 B2
8593269 Grant et al. Nov 2013 B2
8648829 Shahoian et al. Feb 2014 B2
8659208 Rose et al. Feb 2014 B1
8754757 Ullrich et al. Jun 2014 B1
8947216 Da Costa et al. Feb 2015 B2
8981915 Birnbaum et al. Mar 2015 B2
8994518 Gregorio et al. Mar 2015 B2
9030428 Fleming May 2015 B2
9063570 Weddle et al. Jun 2015 B2
9083821 Hughes Jul 2015 B2
9092059 Bhatia Jul 2015 B2
9117347 Matthews Aug 2015 B2
9128523 Buuck et al. Sep 2015 B2
9164587 Da Costa et al. Oct 2015 B2
9196135 Shah et al. Nov 2015 B2
9248840 Truong Feb 2016 B2
9329721 Buuck et al. May 2016 B1
9354704 Lacroix May 2016 B2
9368005 Cruz-Hernandez et al. Jun 2016 B2
9489047 Jiang et al. Nov 2016 B2
9507423 Gandhi Nov 2016 B2
9513709 Gregorio et al. Dec 2016 B2
9520036 Buuck et al. Dec 2016 B1
9588586 Rihn Mar 2017 B2
9640047 Choi et al. May 2017 B2
9652041 Jiang et al. May 2017 B2
9697450 Lee Jul 2017 B1
9740381 Chaudhri et al. Aug 2017 B1
9842476 Rihn et al. Dec 2017 B2
9864567 Seo Jan 2018 B2
9881467 Levesque Jan 2018 B2
9946348 Saboune et al. Apr 2018 B2
9959744 Koskan et al. May 2018 B2
10055950 Bhatia et al. Aug 2018 B2
10074246 Da Costa et al. Sep 2018 B2
10110152 Hajati Oct 2018 B1
10175763 Shah Jan 2019 B2
10620704 Rand et al. Apr 2020 B2
20030068053 Chu Apr 2003 A1
20030214485 Roberts Nov 2003 A1
20060028095 Maruyama et al. Feb 2006 A1
20060284856 Soss Dec 2006 A1
20080167832 Soss Jul 2008 A1
20080293453 Atlas et al. Nov 2008 A1
20080316181 Nurmi Dec 2008 A1
20090079690 Watson et al. Mar 2009 A1
20090088220 Persson Apr 2009 A1
20090102805 Meijer et al. Apr 2009 A1
20090153499 Kim et al. Jun 2009 A1
20100141408 Doy Jun 2010 A1
20100141606 Bae et al. Jun 2010 A1
20110141052 Bernstein et al. Jun 2011 A1
20110167391 Momeyer et al. Jul 2011 A1
20120105358 Momeyer et al. May 2012 A1
20120229264 Company Bosch et al. Sep 2012 A1
20120306631 Hughes Dec 2012 A1
20130027359 Schevin et al. Jan 2013 A1
20130141382 Modarres et al. Jun 2013 A1
20130275058 Awad Oct 2013 A1
20130289994 Newman et al. Oct 2013 A1
20140056461 Afshar Feb 2014 A1
20140079248 Short et al. Mar 2014 A1
20140085064 Crawley et al. Mar 2014 A1
20140292501 Lim et al. Oct 2014 A1
20140340209 Lacroix et al. Nov 2014 A1
20150084752 Heubel et al. Mar 2015 A1
20150216762 Oohashi et al. Aug 2015 A1
20150324116 Marsden et al. Nov 2015 A1
20150325116 Simmons et al. Nov 2015 A1
20160074278 Muench et al. Mar 2016 A1
20160132118 Park et al. May 2016 A1
20160162031 Westerman et al. Jun 2016 A1
20160179203 Modarres et al. Jun 2016 A1
20160239089 Taninaka et al. Aug 2016 A1
20160246378 Sampanes et al. Aug 2016 A1
20160358605 Ganong, III et al. Dec 2016 A1
20170052593 Jiang et al. Feb 2017 A1
20170078804 Guo et al. Mar 2017 A1
20170153760 Chawda et al. Jun 2017 A1
20170256145 Macours et al. Sep 2017 A1
20170277350 Wang et al. Sep 2017 A1
20180021811 Kutej et al. Jan 2018 A1
20180059793 Hajati Mar 2018 A1
20180084362 Zhang et al. Mar 2018 A1
20180151036 Cha May 2018 A1
20180158289 Vasilev Jun 2018 A1
20180160227 Lawrence et al. Jun 2018 A1
20180178114 Mizuta et al. Jun 2018 A1
20180182212 Li et al. Jun 2018 A1
20180183372 Li et al. Jun 2018 A1
20180237033 Hakeem et al. Aug 2018 A1
20180253123 Levesque et al. Sep 2018 A1
20180294757 Feng et al. Oct 2018 A1
20180301060 Israr et al. Oct 2018 A1
20180321748 Rao et al. Nov 2018 A1
20180329172 Tabuchi Nov 2018 A1
20180367897 Bjork et al. Dec 2018 A1
20190227628 Rand et al. Jan 2019 A1
20190073078 Sheng et al. Mar 2019 A1
20190103829 Vasudevan Apr 2019 A1
20190138098 Shah May 2019 A1
20190206396 Chen Jul 2019 A1
20190114496 Lesso Aug 2019 A1
20190294247 Hu et al. Sep 2019 A1
20190296674 Janko et al. Sep 2019 A1
20190297418 Stahl Sep 2019 A1
20190341903 Kim Nov 2019 A1
Foreign Referenced Citations (23)
Number Date Country
2002347829 Apr 2003 AU
103165328 Jun 2013 CN
0784844 Jun 2005 EP
2363785 Sep 2011 EP
2600225 Jun 2013 EP
2846218 Mar 2015 EP
3379382 Sep 2018 EP
201747044027 Aug 2018 IN
H02130433 May 1990 JP
H08149006 Jun 1996 JP
6026751 Nov 2016 JP
6250985 Dec 2017 JP
6321351 May 2018 JP
20120126446 Nov 2012 KR
2013104919 Jul 2013 WO
2013186845 Dec 2013 WO
2014018086 Jan 2014 WO
2014094283 Jun 2014 WO
2016105496 Jun 2016 WO
2016164193 Oct 2016 WO
2018053159 Mar 2018 WO
2018067613 Apr 2018 WO
2018125347 Jul 2018 WO
Non-Patent Literature Citations (10)
Entry
International Search Report and Written Opinion of the International Searching Authority, International Application No. PCT/GB2019/050772, dated Jul. 5, 2019.
International Search Report and Written Opinion of the International Searching Authority, International Application No. PCT/GB2019/050964, dated Sep. 3, 2019.
Communication Relating to the Results of the Partial International Search, and Provisional Opinion Accompanying the Partial Search Result, of the International Searching Authority, International Application No. PCT/US2018/031329, dated Jul. 20, 2018.
Combined Search and Examination Report, UKIPO, Application No. GB1720424.9, dated Jun. 5, 2018.
International Search Report and Written Opinion of the International Searching Authority, International Application No. PCT/US2020/023342, dated Jun. 9, 2020.
International Search Report and Written Opinion of the International Searching Authority, International Application No. PCT/GB20201050823, dated Jun. 30, 2020.
International Search Report and Written Opinion of the International Searching Authority, International Application No. PCT/GB2020/051037, dated Jul. 9, 2020.
Communication Relating to the Results of the Partial International Search, and Provisional Opinion Accompanying the Partial Search Result, of the International Searching Authority, International Application No. PCT/GB2020/050822, dated Jul. 9, 2020.
International Search Report and Written Opinion of the International Searching Authority, International Application No. PCT/GB2020/051035, dated Jul. 10, 2020.
International Search Report and Written Opinion of the International Searching Authority, International Application No. PCT/US2020/024864, dated Jul. 6, 2020.
Related Publications (1)
Number Date Country
20190294247 A1 Sep 2019 US
Provisional Applications (1)
Number Date Country
62647003 Mar 2018 US