Resonant tracking of an electromagnetic load

Information

  • Patent Grant
  • 12035445
  • Patent Number
    12,035,445
  • Date Filed
    Friday, August 30, 2019
    5 years ago
  • Date Issued
    Tuesday, July 9, 2024
    9 months ago
Abstract
A resonant frequency tracker for driving an electromagnetic load with a driving signal may include a signal generator configured to generate a waveform signal at a driving frequency for driving an electromagnetic load and control circuitry. The control circuitry may be configured to, during driving of the electromagnetic load by the waveform signal or a signal derived therefrom, receive a current signal representative of a current associated with the electromagnetic load and a second signal representative of a second quantity associated with the electromagnetic load, the second quantity comprising one of a voltage associated with the electromagnetic load or a back electromotive force of the electromagnetic load. The control circuitry may be further configured to calculate a phase difference between the current signal and the second signal, determine a frequency error of the waveform signal based on the phase difference, and control the driving frequency based on the frequency error.
Description
FIELD OF DISCLOSURE

The present disclosure relates in general to tracking a resonant frequency of a transducer, for example a haptic transducer, and driving such transducer at or near its resonant frequency.


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. Device 100 may comprise a controller 101 configured to control a signal applied to an amplifier 102. Amplifier 102 may then drive a haptic transducer 103 based on the signal. 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 or virtual button of 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



C

M








(
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).


Traditional approaches for driving an LRA at resonance rely on detecting a time difference between zero crossings of the LRA's back electromotive force (back-EMF) and the load current or voltage. Such difference may then be used to adjust a period of a signal driven to the LRA. One disadvantage of this approach is its sensitivity to noise because all of the noise power is essentially aliased by an effective sampling rate at approximately two times the resonance frequency. Such approach may also suffer from slow convergence if a loop filter is used to reduce sensitivity to noise, because as a rule of thumb, bandwidth of the loop filter should be one-tenth of the effective sampling rate (or less). Further, using such approaches and LRA may be tri-stated at zero crossing events in order to allow a reading of back-EMF, which may result in a loss of drive duty cycle (e.g., maximum power from a driving amplifier may not be delivered to the LRA).


SUMMARY

In accordance with the teachings of the present disclosure, the disadvantages and problems associated with existing approaches for resonant tracking of an electromagnetic load may be reduced or eliminated.


In accordance with embodiments of the present disclosure, a resonant frequency tracker for driving an electromagnetic load with a driving signal may include a signal generator configured to generate a waveform signal at a driving frequency for driving an electromagnetic load and control circuitry. The control circuitry may be configured to, during driving of the electromagnetic load by the waveform signal or a signal derived therefrom, receive a current signal representative of a current associated with the electromagnetic load and a second signal representative of a second quantity associated with the electromagnetic load, the second quantity comprising one of a voltage associated with the electromagnetic load or a back electromotive force of the electromagnetic load. The control circuitry may be further configured to calculate a phase difference between the current signal and the second signal, determine a frequency error of the waveform signal based on the phase difference, and control the driving frequency based on the frequency error.


In accordance with these and other embodiments of the present disclosure, a method may include generating a waveform signal at a driving frequency for driving an electromagnetic load, and during driving of the electromagnetic load by the waveform signal or a signal derived therefrom, receiving a current signal representative of a current associated with the electromagnetic load and a second signal representative of a second quantity associated with the electromagnetic load, the second quantity comprising one of a voltage associated with the electromagnetic load or a back electromotive force of the electromagnetic load. The method may also include calculating a phase difference between the current signal and the second signal, determining a frequency error of the waveform signal based on the phase difference, and controlling the driving frequency based on the frequency error.


In accordance with these and other embodiments of the present disclosure, a host device may include an electromagnetic load and a resonant frequency tracker for driving the electromagnetic load with a driving signal. The resonant frequency tracker may include a signal generator configured to generate a waveform signal at a driving frequency for driving an electromagnetic load and control circuitry. The control circuitry may be configured to, during driving of the electromagnetic load by the waveform signal or a signal derived therefrom, receive a current signal representative of a current associated with the electromagnetic load and a second signal representative of a second quantity associated with the electromagnetic load, the second quantity comprising one of a voltage associated with the electromagnetic load or a back electromotive force of the electromagnetic load. The control circuitry may be further configured to calculate a phase difference between the current signal and the second signal, determine a frequency error of the waveform signal based on the phase difference, and control the driving frequency based on the frequency error.


Technical advantages of the present disclosure may be readily apparent to one having ordinary skill in the art from the figures, description and claims included herein. The objects and advantages of the embodiments will be realized and achieved at least by the elements, features, and combinations particularly pointed out in the claims.


It is to be understood that both the foregoing general description and the following detailed description are examples and explanatory and are not restrictive of the claims set forth in this disclosure.





BRIEF DESCRIPTION OF THE DRAWINGS

A more complete understanding of the present embodiments and advantages thereof may be acquired by referring to the following description taken in conjunction with the accompanying drawings, in which like reference numbers indicate like features, and wherein:



FIG. 1 illustrates an example of a vibro-haptic system in a device, as is known in the art;



FIG. 2 illustrates an example of a Linear Resonant Actuator (LRA) modelled as a linear system, as is known in the art;



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



FIG. 4 illustrates an example demodulator, in accordance with embodiments of the present disclosure.





DETAILED 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, and 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 (e.g., tri-stating its output); 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 embodiments of the present disclosure. In some embodiments, resonant frequency tracker 300 may be integral to a host device comprising resonant frequency tracker 300 and haptic transducer 301. Such device may include, without limitation, a mobile device, home application, a vehicle, and/or any other system, device, or apparatus that includes a human-machine interface.


An electromagnetic load such as an LRA may be characterized by its impedance ZLra as seen as the sum of a coil impedance Zcoil and a mechanical impedance Zmech:

ZLra=Zcoil+Zmech  (9)


Coil impedance Zcoil may in turn comprise a direct current (DC) resistance Re in series with an inductance Le:

Zcoil=Re+sLe  (10)


Mechanical impedance Zmech may be defined by three parameters including a resistance at resonance RES, an angular resonant frequency ω0 (e.g., ω0=2πf0), and a quality factor q. Or equivalently, mechanical impedance Zmech may be defined by three parameters including the resistance at resonance RES, a capacitance CMES representing an electrical capacitance representative of an equivalent moving mass M of the spring system of haptic transducer 301, and inductance LCES representative of a compliance C of the spring system. The relationship among these quantities may be given by the following equations, in which s is the Laplace transform variable:










Z

m

e

c

h


=


R
ES





1

q


ω
0




s


1
+


1

q


ω
0




s

+


1

q


ω
0





s
2









(
11
)






q
=




R

E

S




(

B

l

)

2





(

M
C

)


1
2



=



R

E

S




(


C
MES


L
CES


)



1
2







(
12
)







ω
0

=

1



C

M

E

S




L

C

E

S









(
13
)







At resonance, mechanical impedance Zmech may be reduced to resistance at resonance RES and the total impedance ZLra may equal the sum of resistance Re and resistance at resonance RES. Thus, at resonance, a back-EMF VB(t) and current I(t) through haptic transducer 301 may be in phase, and if inductance Le is small, the current I(t) and terminal voltage VT(t) across the haptic transducer 301 may also be approximately in phase. If haptic transducer 301 is driven with a driving voltage v(t) near resonance (but not at resonance), the phase difference between terminal voltage VT(t) and current I(t) (or back-EMF VB(t) and current I(t)), may vary linearly with the frequency offset from resonance.


Such frequency offset or frequency error ferr from resonance frequency error f0 may be related to a phase error ϕerr between back-EMF VB(t) and current I(t) by one of the following relationships:










ϕ
err

=


-

π
2



C


R

E

S




f
err






(
12
)







ϕ
err

=


-

π
2





q


R

E

S




ω
0




f
err






(
13
)







In some instances, compliance C and resistance at resonance RES may be estimated using offline testing and characterization. In addition, back-EMF voltage VB(t) may be estimated according to equation (3) which may be rearranged as:











V
B



(
t
)


=



V
T



(
t
)


-

Re
·

I


(
t
)



-

Le







dI


(
t
)


dt







(
14
)







The phases of current I(t), terminal voltage VT(t), or the estimate of back-EMF VB(t) may be estimated by demodulating these various signals, and a phase error ϕerr may be given as a difference between back-EMF VB(t) and current I(t). Using either of equations (12) or (13), phase error ϕerr may be converted into frequency error ferr.


Thus, turning to the components shown in FIG. 3, in operation, resonance frequency tracker 300 may, as described in more detail below, generate a haptic waveform signal x(t), which may in turn be amplified by amplifier 306 to generate the driving signal V(t) for driving haptic transducer 301.


Responsive to driving signal V(t), a sensed terminal voltage VT(t) of haptic transducer 301 may be converted to a digital representation by a first analog-to-digital converter (ADC) 303. Similarly, sensed current I(t) may be converted to a digital representation by a second ADC 304. Current I(t) may be sensed across a shunt resistor 302 having resistance Rs coupled to a terminal of haptic transducer 301. The terminal voltage VT(t) may be sensed by a terminal voltage sensing block 307, for example a volt meter.


As shown in FIG. 3, resonance frequency tracker 300 may include a back-EMF estimate block 308 that may estimate back-EMF voltage VB(t) in accordance with equation (14) above. In some embodiments, a back-EMF estimate block may be implemented as a digital filter with a proportional and parallel difference path. The estimates of DC resistance Re and inductance Le may not need to be accurate (e.g., within an approximate 10% error may be acceptable), and thus, fixed values from an offline calibration or from a data sheet specification may be sufficient.


A first demodulator 310a may demodulate estimated back-EMF voltage VB(t) using a carrier with known frequency (e.g., a driving frequency f of driving signal V(t)) to obtain its phase ϕVB relative to the carrier. Similarly, a second demodulator 310b may demodulate the digital equivalent of sensed current I(t) using a carrier with known frequency (e.g., a driving frequency f of driving signal V(t)) to obtain its phase ϕI relative to the carrier. Turning briefly to FIG. 4, FIG. 4 illustrates an example demodulator 310 that may be used to implement either or both of first demodulator 310a and second demodulator 310b, in accordance with embodiments of the present disclosure.


As shown in FIG. 4, demodulator 310 may be implemented by multiplying an input tone IN (IN=a sin(ωt+ϕ)), where a is the amplitude, ω is the angular frequency, and ϕ is the phase of the signal relative to the carrier with a sinusoid (block 402) having the same frequency. Low-pass filters 404 may be necessary to eliminate alternating current (AC) products of the demodulation.


Turning again to FIG. 3, resonance frequency tracker 300 may include a combiner 312 configured to generate phase error ϕerr as a difference between phase ϕVB and phase ϕI. A phase-to-frequency converter 314 may receive phase error ϕerr and generate frequency error ferr, for example by applying either of equations (12) or (13), above. In some embodiments, phase-to-frequency converter 314 may comprise or may otherwise have access to a lookup table that maps a received phase error ϕerr to a corresponding frequency error ferr.


A combiner 316 may subtract a frequency offset fOFFSET (described in greater detail below) from frequency error ferr to generate modified frequency error f′err. Loop filter 318 may in turn perform loop filtering to generate a drive frequency f for haptic waveform signal x(t) towards resonance frequency f0 in order to minimize modified frequency error f′err. An integrator 320 may integrate drive frequency f to produce a phase ϕ for haptic waveform signal x(t).


As also shown in FIG. 3, a waveform controller 322 may generate an initial frequency signal fi and communicate such signal to loop filter 318, which may pre-initialize loop filter 318 at startup to generate drive frequency f close to resonance frequency f0 (e.g., within the approximate linear range of frequency error ferr). Waveform controller 322 may also generate an amplitude signal a to modulate the amplitude of haptic waveform signal x(t) in order to generate arbitrary haptic effects while tracking resonance frequency f0. In some embodiments, waveform controller 322 may also generate frequency offset fOFFSET in order that haptic waveform signal x(t) is driven at an offset from resonance to generate haptic effects by slowly modulating the offset from resonance.


A signal generator 324 may generate haptic waveform signal x(t) based on drive frequency f, phase ϕ, and amplitude signal a (e.g., x(t)=a sin(2πf+ϕ)).


When loop filter 318 has settled, drive frequency f generated by loop filter 318 may be used to derive an estimate of resonance frequency f0 which may be used for haptic generation and/or for diagnostic purposes. For example, as shown in FIG. 3, combiner 316 may subtract frequency offset fOFFSET (if present) from drive frequency f to generate an estimate f0_EST of resonance frequency f0.


Accordingly, the systems and methods described above may provide for tracking of resonance frequency f0 using continuous phase estimation. Such continuous phase estimation enables continuous estimation of the difference between drive frequency and resonance frequency, and such frequency error may be used in a feedback loop to steer the drive frequency towards the resonance frequency. Advantageously, unlike traditional approaches, the systems and methods described herein do not constrain the drive duty-cycle of a haptic transducer. Furthermore, the systems and methods described herein may be less sensitive to noise and may achieve resonance tracking more efficiently than existing approaches that rely on zero crossing event detection.


As used herein, when two or more elements are referred to as “coupled” to one another, such term indicates that such two or more elements are in electronic communication or mechanical communication, as applicable, whether connected indirectly or directly, with or without intervening elements.


This disclosure encompasses all changes, substitutions, variations, alterations, and modifications to the example embodiments herein that a person having ordinary skill in the art would comprehend. Similarly, where appropriate, the appended claims encompass all changes, substitutions, variations, alterations, and modifications to the example embodiments herein that a person having ordinary skill in the art would comprehend. Moreover, reference in the appended claims to an apparatus or system or a component of an apparatus or system being adapted to, arranged to, capable of, configured to, enabled to, operable to, or operative to perform a particular function encompasses that apparatus, system, or component, whether or not it or that particular function is activated, turned on, or unlocked, as long as that apparatus, system, or component is so adapted, arranged, capable, configured, enabled, operable, or operative. Accordingly, modifications, additions, or omissions may be made to the systems, apparatuses, and methods described herein without departing from the scope of the disclosure. For example, the components of the systems and apparatuses may be integrated or separated. Moreover, the operations of the systems and apparatuses disclosed herein may be performed by more, fewer, or other components and the methods described may include more, fewer, or other steps. Additionally, steps may be performed in any suitable order. As used in this document, “each” refers to each member of a set or each member of a subset of a set.


Although exemplary embodiments are illustrated in the figures and described below, the principles of the present disclosure may be implemented using any number of techniques, whether currently known or not. The present disclosure should in no way be limited to the exemplary implementations and techniques illustrated in the drawings and described above.


Unless otherwise specifically noted, articles depicted in the drawings are not necessarily drawn to scale.


All examples and conditional language recited herein are intended for pedagogical objects to aid the reader in understanding the disclosure and the concepts contributed by the inventor to furthering the art, and are construed as being without limitation to such specifically recited examples and conditions. Although embodiments of the present disclosure have been described in detail, it should be understood that various changes, substitutions, and alterations could be made hereto without departing from the spirit and scope of the disclosure.


Although specific advantages have been enumerated above, various embodiments may include some, none, or all of the enumerated advantages. Additionally, other technical advantages may become readily apparent to one of ordinary skill in the art after review of the foregoing figures and description.


To aid the Patent Office and any readers of any patent issued on this application in interpreting the claims appended hereto, applicants wish to note that they do not intend any of the appended claims or claim elements to invoke 35 U.S.C. § 112(f) unless the words “means for” or “step for” are explicitly used in the particular claim.

Claims
  • 1. A resonant frequency tracker for driving an electromagnetic load with a driving signal, the resonance-frequency tracker comprising: a signal generator configured to generate a waveform signal at a driving frequency for driving the electromagnetic load; andcontrol circuitry configured to: during driving of the electromagnetic load by the waveform signal or a signal derived therefrom: monitor a current signal responsive to the waveform signal or the signal derived therefrom and representative of a current associated with the electromagnetic load; andmonitor a second signal responsive to the waveform signal or the signal derived therefrom and representative of a second quantity associated with the electromagnetic load, the second quantity comprising one of a voltage associated with a back electromotive force of the electromagnetic load;calculate a phase difference between the current signal and the second signal;determine a frequency error of the waveform signal indicative of a difference between the driving frequency and a resonance frequency of the electromagnetic load based on the phase difference; andcontrol the driving frequency based on the frequency error.
  • 2. The resonant frequency tracker of claim 1, wherein the electromagnetic load comprises a haptic transducer.
  • 3. The resonant frequency tracker of claim 1, wherein the electromagnetic load comprises a linear resonant actuator.
  • 4. The resonant frequency tracker of claim 1, wherein the control circuitry is configured to calculate the phase difference by: demodulating the current signal based on the drive frequency to determine a relative phase of the current signal;demodulating the second signal based on the drive frequency to determine a relative phase of the second signal; andcalculating the phase difference to be a difference between the relative phase of the second signal and the relative phase of the current signal.
  • 5. The resonant frequency tracker of claim 1, wherein: the second quantity is the back electromotive force of the electromagnetic load; andthe control circuitry is further configured to estimate the back electromotive force based on the voltage associated with the electromagnetic load, the current associated with the electromagnetic load, and a coil impedance associated with the electromagnetic load.
  • 6. The resonant frequency tracker of claim 1, wherein the control circuitry is configured to control the driving frequency in order to minimize the frequency error.
  • 7. The resonant frequency tracker of claim 1, wherein the control circuitry is configured to control the driving frequency in order to minimize a difference between the frequency error and a predetermined frequency offset.
  • 8. The resonant frequency tracker of claim 1, wherein the control circuitry is further configured to determine the frequency error of the waveform signal based on estimates of an equivalent mass of the electromagnetic load and an impedance at resonance of the electromagnetic load.
  • 9. The resonant frequency tracker of claim 1, wherein the control circuitry is further configured to implement a closed loop control system having a loop filter in order to determine the frequency error.
  • 10. The resonant frequency tracker of claim 9, wherein the control circuitry is further configured to provide an initial drive frequency as a first input to the loop filter to cause the loop filter at its initiation to generate the waveform signal having the drive frequency equal to the initial drive frequency.
  • 11. The resonant frequency tracker of claim 1, wherein: the control circuitry is further configured to integrate the drive frequency to generate a driving phase for the waveform signal; andthe signal generator is further configured to generate the waveform signal having the driving phase.
  • 12. The resonant frequency tracker of claim 1, wherein: the control circuitry is further configured to modulate an amplitude of the driving signal independently of tracking of the resonance frequency of the electromagnetic load; andthe signal generator is further configured to generate the waveform signal having the amplitude of the driving signal as modulated by the control circuitry.
  • 13. A method comprising: generating a waveform signal at a driving frequency for driving an electromagnetic load;during driving of the electromagnetic load by the waveform signal or a signal derived therefrom: monitoring a current signal responsive to the waveform signal or the signal derived therefrom and representative of a current associated with the electromagnetic load; andmonitoring a second signal responsive to the waveform signal or the signal derived therefrom and representative of a second quantity associated with the electromagnetic load, the second quantity comprising one of a voltage associated with a back electromotive force of the electromagnetic load;calculating a phase difference between the current signal and the second signal;determining a frequency error of the waveform signal indicative of a difference between the driving frequency and a resonance frequency of the electromagnetic load based on the phase difference; andcontrolling the driving frequency based on the frequency error.
  • 14. The method of claim 13, wherein the electromagnetic load comprises a haptic transducer.
  • 15. The method of claim 13, wherein the electromagnetic load comprises a linear resonant actuator.
  • 16. The method of claim 13, further comprising calculating the phase difference by: demodulating the current signal based on the drive frequency to determine a relative phase of the current signal;demodulating the second signal based on the drive frequency to determine a relative phase of the second signal; andcalculating the phase difference to be a difference between the relative phase of the second signal and the relative phase of the current signal.
  • 17. The method of claim 13, wherein: the second quantity is the back electromotive force of the electromagnetic load; andthe method further comprises estimating the back electromotive force based on the voltage associated with the electromagnetic load, the current associated with the electromagnetic load, and a coil impedance associated with the electromagnetic load.
  • 18. The method of claim 13, further comprising controlling the driving frequency in order to minimize the frequency error.
  • 19. The method of claim 13, further comprising controlling the driving frequency in order to minimize a difference between the frequency error and a predetermined frequency offset.
  • 20. The method of claim 13, further comprising determining the frequency error of the waveform signal based on estimates of an equivalent mass of the electromagnetic load and an impedance at resonance of the electromagnetic load.
  • 21. The method of claim 13, further comprising implementing a closed loop control system having a loop filter in order to determine the frequency error.
  • 22. The method of claim 21, further comprising providing an initial drive frequency as a first input to the loop filter to cause the loop filter at its initiation to generate the waveform signal having the drive frequency equal to the initial drive frequency.
  • 23. The method of claim 13, further comprising: integrating the drive frequency to generate a driving phase for the waveform signal; andgenerating the waveform signal having the driving phase.
  • 24. The method of claim 13, wherein: further comprising modulating an amplitude of the driving signal independently of tracking of the resonance frequency of the electromagnetic load; andgenerating the waveform signal having the amplitude of the driving signal as modulated by the control circuitry.
  • 25. A host device comprising: an electromagnetic load; anda resonant frequency tracker for driving the electromagnetic load with a driving signal, the resonance-frequency tracker comprising: a signal generator configured to generate a waveform signal at a driving frequency for driving the electromagnetic load; andcontrol circuitry configured to: during driving of the electromagnetic load by the waveform signal or a signal derived therefrom: monitor a current signal responsive to the waveform signal or the signal derived therefrom and representative of a current associated with the electromagnetic load; andmonitor a second signal responsive to the waveform signal or the signal derived therefrom and representative of a second quantity associated with the electromagnetic load, the second quantity comprising one of a voltage associated with a back electromotive force of the electromagnetic load;calculate a phase difference between the current signal and the second signal;determine a frequency error of the waveform signal based indicative of a difference between the driving frequency and a resonance frequency of the electromagnetic load on the phase difference; andcontrol the driving frequency based on the frequency error.
RELATED APPLICATION

The present disclosure claims priority to U.S. Provisional Patent Application Ser. No. 62/825,950, filed Mar. 29, 2019, which is incorporated by reference herein in its entirety.

US Referenced Citations (377)
Number Name Date Kind
3686927 Scharton Aug 1972 A
4902136 Mueller et al. Feb 1990 A
5374896 Sato et al. Dec 1994 A
5684722 Thorner et al. Nov 1997 A
5748578 Schell May 1998 A
5857986 Moriyasu Jan 1999 A
6050393 Murai et al. Apr 2000 A
6278790 Davis et al. Aug 2001 B1
6294891 McConnell et al. Sep 2001 B1
6332029 Azima et al. Dec 2001 B1
6388520 Wada et al. May 2002 B2
6567478 Oishi et al. May 2003 B2
6580796 Kuroki Jun 2003 B1
6683437 Tierling Jan 2004 B2
6703550 Chu Mar 2004 B2
6762745 Braun et al. Jul 2004 B1
6768779 Nielsen Jul 2004 B1
6784740 Tabatabaei Aug 2004 B1
6816833 Iwamoto et al. Nov 2004 B1
6906697 Rosenberg Jun 2005 B2
6995747 Casebolt et al. Feb 2006 B2
7042286 Meade et al. May 2006 B2
7154470 Tierling Dec 2006 B2
7277678 Rozenblit et al. Oct 2007 B2
7301094 Noro et al. Nov 2007 B1
7333604 Zernovizky et al. Feb 2008 B2
7392066 Hapamas Jun 2008 B2
7456688 Okazaki et al. Nov 2008 B2
7623114 Rank Nov 2009 B2
7639232 Grant et al. Dec 2009 B2
7777566 Drogi et al. Aug 2010 B1
7791588 Tierling et al. Sep 2010 B2
7825838 Srinivas et al. Nov 2010 B1
7979146 Ullrich 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
8441444 Moore et al. May 2013 B2
8466778 Wang et al. Jun 2013 B2
8480240 Kashiyama Jul 2013 B2
8572293 Cruz-Hernandez et al. Oct 2013 B2
8572296 Shasha et al. Oct 2013 B2
8593269 Grant et al. Nov 2013 B2
8648659 Oh et al. Feb 2014 B2
8648829 Shahoian Feb 2014 B2
8659208 Rose Feb 2014 B1
8754757 Ullrich et al. Jun 2014 B1
8754758 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
9019087 Bakircioglu et al. Apr 2015 B2
9030428 Fleming May 2015 B2
9063570 Weddle et al. Jun 2015 B2
9070856 Rose Jun 2015 B1
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
9326066 Klippel Apr 2016 B2
9329721 Buuck et al. May 2016 B1
9354704 Lacroix et al. May 2016 B2
9368005 Cruz-Hernandez et al. Jun 2016 B2
9489047 Jiang et al. Nov 2016 B2
9495013 Underkoffler et al. Nov 2016 B2
9507423 Gandhi et al. Nov 2016 B2
9513709 Gregorio et al. Dec 2016 B2
9520036 Buuck Dec 2016 B1
9588586 Rihn Mar 2017 B2
9640047 Choi et al. May 2017 B2
9652041 Jiang et al. May 2017 B2
9696859 Heller et al. Jul 2017 B1
9697450 Lee Jul 2017 B1
9715300 Sinclair et al. Jul 2017 B2
9740381 Chaudhri et al. Aug 2017 B1
9842476 Rihn et al. Dec 2017 B2
9864567 Seo Jan 2018 B2
9881467 Levesque Jan 2018 B2
9886829 Levesque Feb 2018 B2
9946348 Ullrich et al. Apr 2018 B2
9947186 Macours Apr 2018 B2
9959744 Koskan et al. May 2018 B2
9965092 Smith May 2018 B2
9990089 Dickinson et al. Jun 2018 B2
10032550 Zhang et al. Jul 2018 B1
10039080 Miller et al. Jul 2018 B2
10055950 Saboune et al. Aug 2018 B2
10074246 Da Costa et al. Sep 2018 B2
10082873 Zhang Sep 2018 B2
10102722 Levesque et al. Oct 2018 B2
10110152 Hajati Oct 2018 B1
10165358 Koudar Dec 2018 B2
10171008 Nishitani et al. Jan 2019 B2
10175763 Shah Jan 2019 B2
10191579 Forlines et al. Jan 2019 B2
10264348 Harris et al. Apr 2019 B1
10402031 Vandermeijden et al. Sep 2019 B2
10447217 Zhao et al. Oct 2019 B2
10564727 Billington et al. Feb 2020 B2
10620704 Rand et al. Apr 2020 B2
10667051 Stahl May 2020 B2
10671167 Hajati Jun 2020 B2
10726638 Mondello et al. Jul 2020 B2
10732714 Rao et al. Aug 2020 B2
10735956 Bae et al. Aug 2020 B2
10782785 Hu et al. Sep 2020 B2
10795443 Hu et al. Oct 2020 B2
10820100 Stahl et al. Oct 2020 B2
10828672 Stahl et al. Nov 2020 B2
10832537 Doy et al. Nov 2020 B2
10841696 Mamou-Mani Nov 2020 B2
10848886 Rand Nov 2020 B2
10860202 Sepehr et al. Dec 2020 B2
10955955 Peso Parada et al. Mar 2021 B2
10969871 Rand et al. Apr 2021 B2
10976825 Das et al. Apr 2021 B2
11069206 Rao et al. Jul 2021 B2
11079874 Lapointe et al. Aug 2021 B2
11139767 Janko et al. Oct 2021 B2
11150733 Das et al. Oct 2021 B2
11259121 Lindemann Feb 2022 B2
11460526 Foo et al. Oct 2022 B1
11669165 Das et al. Jun 2023 B2
20010043714 Asada et al. Nov 2001 A1
20020018578 Burton Feb 2002 A1
20020044046 Takahashi Apr 2002 A1
20020085647 Oishi et al. Jul 2002 A1
20030068053 Chu Apr 2003 A1
20030214485 Roberts Nov 2003 A1
20040120540 Mullenborn et al. Jun 2004 A1
20050031140 Browning Feb 2005 A1
20050134562 Grant et al. Jun 2005 A1
20050195919 Cova Sep 2005 A1
20060028095 Maruyama et al. Feb 2006 A1
20060197753 Hotelling Sep 2006 A1
20060284856 Soss Dec 2006 A1
20070013337 Liu et al. Jan 2007 A1
20070024254 Radecker Feb 2007 A1
20070241816 Okazaki et al. Oct 2007 A1
20080077367 Odajima Mar 2008 A1
20080226109 Yamakata et al. Sep 2008 A1
20080240458 Goldstein et al. Oct 2008 A1
20080293453 Atlas et al. Nov 2008 A1
20080316181 Nurmi Dec 2008 A1
20090020343 Rothkopf et al. Jan 2009 A1
20090079690 Watson et al. Mar 2009 A1
20090088220 Persson Apr 2009 A1
20090096632 Ullrich et al. Apr 2009 A1
20090102805 Meijer et al. Apr 2009 A1
20090128306 Luden et al. May 2009 A1
20090153499 Kim et al. Jun 2009 A1
20090189867 Krah et al. Jul 2009 A1
20090278819 Goldenberg et al. Nov 2009 A1
20090279719 Lesso Nov 2009 A1
20090313542 Cruz-Hernandez et al. Dec 2009 A1
20100013761 Birnbaum et al. Jan 2010 A1
20100080331 Garudadri et al. Apr 2010 A1
20100085317 Park et al. Apr 2010 A1
20100141408 Doy et al. Jun 2010 A1
20100260371 Afshar Oct 2010 A1
20100261526 Anderson et al. Oct 2010 A1
20100331685 Stein et al. Dec 2010 A1
20110056763 Tanase et al. Mar 2011 A1
20110075835 Hill Mar 2011 A1
20110077055 Pakula et al. Mar 2011 A1
20110141052 Bernstein et al. Jun 2011 A1
20110161537 Chang Jun 2011 A1
20110163985 Bae Jul 2011 A1
20110167391 Momeyer et al. Jul 2011 A1
20120011436 Jinkinson et al. Jan 2012 A1
20120105358 Momeyer et al. May 2012 A1
20120105367 Son et al. May 2012 A1
20120112894 Yang et al. May 2012 A1
20120206246 Cruz-Hernandez et al. Aug 2012 A1
20120206247 Bhatia et al. Aug 2012 A1
20120229264 Company Bosch et al. Sep 2012 A1
20120249462 Flanagan et al. Oct 2012 A1
20120253698 Cokonaj Oct 2012 A1
20120306631 Hughes Dec 2012 A1
20130016855 Lee et al. Jan 2013 A1
20130027359 Schevin et al. Jan 2013 A1
20130038792 Quigley et al. Feb 2013 A1
20130096849 Campbell et al. Apr 2013 A1
20130141382 Simmons et al. Jun 2013 A1
20130208923 Suvanto Aug 2013 A1
20130275058 Awad Oct 2013 A1
20130289994 Newman et al. Oct 2013 A1
20130307786 Heubel Nov 2013 A1
20140035736 Weddle et al. Feb 2014 A1
20140056461 Afshar Feb 2014 A1
20140064516 Cruz-Hernandez et al. Mar 2014 A1
20140079248 Short et al. Mar 2014 A1
20140085064 Crawley et al. Mar 2014 A1
20140118125 Bhatia May 2014 A1
20140118126 Garg et al. May 2014 A1
20140119244 Steer et al. May 2014 A1
20140125467 Da Costa et al. May 2014 A1
20140139327 Bau et al. May 2014 A1
20140176415 Buuck et al. Jun 2014 A1
20140205260 Lacroix et al. Jul 2014 A1
20140222377 Bitan et al. Aug 2014 A1
20140226068 Lacroix et al. Aug 2014 A1
20140253303 Levesque Sep 2014 A1
20140292501 Lim et al. Oct 2014 A1
20140300454 Lacroix et al. Oct 2014 A1
20140340209 Lacroix et al. Nov 2014 A1
20140347176 Modarres et al. Nov 2014 A1
20150010176 Scheveiw et al. Jan 2015 A1
20150201294 Risbert et al. Jan 2015 A1
20150049882 Chiu et al. Feb 2015 A1
20150061846 Yliaho Mar 2015 A1
20150070149 Cruz-Hernandez et al. Mar 2015 A1
20150070151 Cruz-Hernandez et al. Mar 2015 A1
20150070154 Levesque et al. Mar 2015 A1
20150070260 Saboune et al. Mar 2015 A1
20150077324 Birnbaum et al. Mar 2015 A1
20150084752 Heubel et al. Mar 2015 A1
20150116205 Westerman et al. Apr 2015 A1
20150130767 Myers et al. May 2015 A1
20150154966 Bharitkar et al. Jun 2015 A1
20150204925 Hernandez et al. Jul 2015 A1
20150208189 Tsai Jul 2015 A1
20150216762 Oohashi et al. Aug 2015 A1
20150234464 Yliaho Aug 2015 A1
20150249888 Bogdanov Sep 2015 A1
20150264455 Granoto et al. Sep 2015 A1
20150268768 Woodhull et al. Sep 2015 A1
20150324116 Marsden et al. Nov 2015 A1
20150325116 Umminger, III Nov 2015 A1
20150339898 Saboune et al. Nov 2015 A1
20150341714 Ahn et al. Nov 2015 A1
20150355259 Sartler et al. Dec 2015 A1
20150356981 Johnson et al. Dec 2015 A1
20150359452 Giovangrandi et al. Dec 2015 A1
20160004311 Yliaho Jan 2016 A1
20160007095 Lacrois Jan 2016 A1
20160063826 Morrell et al. Mar 2016 A1
20160070353 Lacroix et al. Mar 2016 A1
20160070392 Wang et al. Mar 2016 A1
20160074278 Muench et al. Mar 2016 A1
20160097662 Chang et al. Apr 2016 A1
20160103489 Cruz-Hernandez et al. Apr 2016 A1
20160132118 Park et al. May 2016 A1
20160141606 Ahn et al. May 2016 A1
20160155305 Barsilai et al. Jun 2016 A1
20160162031 Westerman et al. Jun 2016 A1
20160179203 Modarres et al. Jun 2016 A1
20160187987 Ullrich et al. Jun 2016 A1
20160195930 Venkatesan et al. Jul 2016 A1
20160227614 Lissoni et al. Aug 2016 A1
20160239089 Taninaka et al. Aug 2016 A1
20160246378 Sampanes et al. Aug 2016 A1
20160277821 Kunimoto Sep 2016 A1
20160291731 Liu et al. Oct 2016 A1
20160305996 Martens et al. Oct 2016 A1
20160328065 Johnson et al. Nov 2016 A1
20160358605 Ganong, III et al. Dec 2016 A1
20170052593 Jiang et al. Feb 2017 A1
20170078804 Guo et al. Mar 2017 A1
20170083096 Rihn et al. Mar 2017 A1
20170090572 Holenarsipur et al. Mar 2017 A1
20170090573 Hajati et al. Mar 2017 A1
20170097381 Stephens et al. Apr 2017 A1
20170153760 Chawda et al. Jun 2017 A1
20170168574 Zhang Jun 2017 A1
20170168773 Keller et al. Jun 2017 A1
20170169674 Macours Jun 2017 A1
20170180863 Biggs et al. Jun 2017 A1
20170220197 Matsumoto et al. Aug 2017 A1
20170256145 Macours Sep 2017 A1
20170277350 Wang et al. Sep 2017 A1
20170277360 Breedvelt-Schouten et al. Sep 2017 A1
20170031495 Tse Dec 2017 A1
20170357440 Tse Dec 2017 A1
20180021811 Kutej Jan 2018 A1
20180033946 Kemppinen et al. Feb 2018 A1
20180059733 Gault et al. Mar 2018 A1
20180059793 Hajati Mar 2018 A1
20180067557 Robert et al. Mar 2018 A1
20180074637 Rosenberg et al. Mar 2018 A1
20180082673 Tzanetos Mar 2018 A1
20180084362 Zhang et al. Mar 2018 A1
20180095596 Turgeman Apr 2018 A1
20180139538 Macours May 2018 A1
20180151036 Cha et al. May 2018 A1
20180158289 Vasilev et al. Jun 2018 A1
20180159452 Eke et al. Jun 2018 A1
20180159457 Eke Jun 2018 A1
20180159545 Eke Jun 2018 A1
20180160227 Lawrence et al. Jun 2018 A1
20180165925 Israr 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
20180194369 Lisseman et al. Jul 2018 A1
20180196567 Klein et al. Jul 2018 A1
20180224963 Lee et al. Aug 2018 A1
20180227063 Heubel et al. Aug 2018 A1
20180237033 Hakeem et al. Aug 2018 A1
20180206282 Singh Sep 2018 A1
20180253123 Levesque et al. Sep 2018 A1
20180255411 Lin et al. Sep 2018 A1
20180267897 Jeong Sep 2018 A1
20180294757 Feng et al. Oct 2018 A1
20180301060 Israr et al. Oct 2018 A1
20180304310 Long et al. Oct 2018 A1
20180321056 Yoo et al. Nov 2018 A1
20180321748 Rao Nov 2018 A1
20180323725 Cox Nov 2018 A1
20180329172 Tabuchi Nov 2018 A1
20180335848 Moussette et al. Nov 2018 A1
20180367897 Bjork et al. Dec 2018 A1
20190020760 DeBates et al. Jan 2019 A1
20190033348 Zeleznik et al. Jan 2019 A1
20190035235 Da Costa Jan 2019 A1
20190227628 Rand et al. Jan 2019 A1
20190044651 Nakada Feb 2019 A1
20190051229 Ozguner et al. Feb 2019 A1
20190064925 Kim et al. Feb 2019 A1
20190069088 Seiler Feb 2019 A1
20190073078 Sheng et al. Mar 2019 A1
20190102031 Shutzberg et al. Apr 2019 A1
20190103829 Vasudevan Apr 2019 A1
20190138098 Shah May 2019 A1
20190163234 Kim et al. May 2019 A1
20190196596 Yokoyama et al. Jun 2019 A1
20190206396 Chen Jul 2019 A1
20190215349 Adams et al. Jul 2019 A1
20190220095 Ogita et al. Jul 2019 A1
20190228619 Yokoyama et al. Jul 2019 A1
20190114496 Lesso Aug 2019 A1
20190235629 Hu et al. Aug 2019 A1
20190253031 Vellanki et al. Aug 2019 A1
20190294247 Hu et al. Sep 2019 A1
20190295755 Konradi et al. Sep 2019 A1
20190296674 Janko et al. Sep 2019 A1
20190297418 Stahl Sep 2019 A1
20190305851 Vegas-Olmos et al. Oct 2019 A1
20190311590 Doy et al. Oct 2019 A1
20190341903 Kim Nov 2019 A1
20190384393 Cruz-Hernandez et al. Dec 2019 A1
20190384898 Chen et al. Dec 2019 A1
20200117506 Chan Apr 2020 A1
20200139403 Palit May 2020 A1
20200150767 Karimi Eskandary et al. May 2020 A1
20200218352 Macours et al. Jul 2020 A1
20200231085 Kunii et al. Jul 2020 A1
20200300920 Christophersen et al. Sep 2020 A1
20200306796 Lindemann et al. Oct 2020 A1
20200313529 Lindemann et al. Oct 2020 A1
20200313654 Marchais et al. Oct 2020 A1
20200314969 Marchais et al. Oct 2020 A1
20200342724 Marchais et al. Oct 2020 A1
20200348249 Marchais et al. Nov 2020 A1
20200395908 Schindler et al. Dec 2020 A1
20200401292 Lorenz et al. Dec 2020 A1
20200403546 Janko et al. Dec 2020 A1
20210108975 Parada et al. Apr 2021 A1
20210125469 Alderson et al. Apr 2021 A1
20210153562 Fishwick et al. May 2021 A1
20210157436 Peso Parada et al. May 2021 A1
20210174777 Marchais et al. Jun 2021 A1
20210175869 Taipale Jun 2021 A1
20210200316 Das et al. Jul 2021 A1
20210325967 Khenkin et al. Oct 2021 A1
20210328535 Khenkin et al. Oct 2021 A1
20210360347 Aschieri Nov 2021 A1
20210365118 Rajapurkar et al. Nov 2021 A1
20220026989 Rao et al. Jan 2022 A1
20220328752 Lesso et al. Oct 2022 A1
20220404398 Reynaga et al. Dec 2022 A1
20220408181 Hendrix et al. Dec 2022 A1
Foreign Referenced Citations (54)
Number Date Country
2002347829 Apr 2003 AU
103165328 Jun 2013 CN
103403796 Nov 2013 CN
104811838 Jul 2015 CN
204903757 Dec 2015 CN
105264551 Jan 2016 CN
106140592 Nov 2016 CN
106423808 Feb 2017 CN
106438890 Feb 2017 CN
106950832 Jul 2017 CN
107665051 Feb 2018 CN
107835968 Mar 2018 CN
210628147 May 2020 CN
114237414 Mar 2022 CN
0784844 Jun 2005 EP
2306269 Apr 2011 EP
2363785 Sep 2011 EP
2487780 Aug 2012 EP
2600225 Jun 2013 EP
2846218 Mar 2015 EP
2846229 Mar 2015 EP
2846329 Mar 2015 EP
2988528 Feb 2016 EP
3125508 Feb 2017 EP
3379382 Sep 2018 EP
3546035 Oct 2019 EP
3937379 Jan 2022 EP
201620746 Jan 2017 GB
2526881 Oct 2017 GB
2606309 Nov 2022 GB
201747044027 Aug 2018 IN
113268138 Aug 2021 IN
H02130433 May 1990 JP
08149006 Jun 1996 JP
H10184782 Jul 1998 JP
6026751 Nov 2016 JP
6250985 Dec 2017 JP
6321351 May 2018 JP
20000068440 Nov 2000 KR
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
2017034973 Mar 2017 WO
2017113651 Jul 2017 WO
2017113652 Jul 2017 WO
2018053159 Mar 2018 WO
2018067613 Apr 2018 WO
2018125347 Jul 2018 WO
2020004840 Jan 2020 WO
2020055405 Mar 2020 WO
Non-Patent Literature Citations (56)
Entry
Office Action of the Intellectual Property Office, ROC (Taiwan) Patent Application No. 107115475, issued Apr. 30, 2021.
First Office Action, China National Intellectual Property Administration, Patent Application No. 2019800208570, issued Jun. 3, 2021.
International Search Report and Written Opinion of the International Searching Authority, International Application No. PCT/US2021/021908, mailed Jun. 9, 2021.
Notice of Preliminary Rejection, Korean Intellectual Property Office, Application No. 10-2019-7036236, mailed Jun. 29, 2021.
Combined Search and Examination Report, United Kingdom Intellectual Property Office, Application No. GB2018051.9, mailed Jun. 30, 2021.
Communication pursuant to Rule 164(2)(b) and Article 94(3) EPC, European Patent Office, Application No. 18727512.8, mailed Jul. 8, 2021.
Gottfried Behler: “Measuring the Loudspeaker's Impedance during Operation for the Derivation of the Voice Coil Temperature”, AES Convention Preprint, Feb. 25, 1995 (Feb. 25, 1995), Paris.
International Search Report and Written Opinion of the International Searching Authority, International Application No. PCT/GB2019/050964, mailed Sep. 3, 2019.
International Search Report and Written Opinion of the International Searching Authority, International Application No. PCT/GB2019/050770, mailed Jul. 5, 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, mailed Jul. 20, 2018.
Combined Search and Examination Report, UKIPO, Application No. GB1720424.9, mailed Jun. 5, 2018.
International Search Report and Written Opinion of the International Searching Authority, International Application No. PCT/GB2019/052991, mailed Mar. 17, 2020, received by Applicant Mar. 19, 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, mailed Jul. 9, 2020.
International Search Report and Written Opinion of the International Searching Authority, International Application No. PCT/GB2020/050823, mailed Jun. 30, 2020.
International Search Report and Written Opinion of the International Searching Authority, International Application No. PCT/GB2020/051037, mailed Jul. 9, 2020.
International Search Report and Written Opinion of the International Searching Authority, International Application No. PCT/GB2020/051035, mailed Jul. 10, 2020.
First Examination Opinion Notice, State Intellectual Property Office of the People's Republic of China, Application No. 201880037435.X, issued Dec. 31, 2020.
Steinbach et al., Haptic Data Compression and Communication, IEEE Signal Processing Magazine, Jan. 2011.
Pezent et al., Syntacts Open-Source Software and Hardware for Audio-Controlled Haptics, IEEE Transactions on Haptics, vol. 14, No. 1, Jan.-Mar. 2021.
Danieau et al., Enhancing Audiovisual Experience with Haptic Feedback: A Survey on HAV, IEEE Transactions on Haptics, vol. 6, No. 2, Apr.-Jun. 2013.
Danieau et al., Toward Haptic Cinematography: Enhancing Movie Experiences with Camera-Based Haptic Effects, IEEE Computer Society, IEEE MultiMedia, Apr.-Jun. 2014.
Jaijongrak et al., A Haptic and Auditory Assistive User Interface: Helping the Blinds on their Computer Operations, 2011 IEEE International Conference on Rehabilitation Robotics, Rehab Week Zurich, ETH Zurich Science City, Switzerland, Jun. 29-Jul. 1, 2011.
Lim et al., An Audio-Haptic Feedbacks for Enhancing User Experience in Mobile Devices, 2013 IEEE International Conference on Consumer Electronics (ICCE).
Weddle et al., How Does Audio-Haptic Enhancement Influence Emotional Response to Mobile Media, 2013 Fifth International Workshop on Quality of Multimedia Experience (QoMEX), QMEX 2013.
First Office Action, China National Intellectual Property Administration, Patent Application No. 2019800211287, issued Jul. 5, 2021.
Examination Report under Section 18(3), United Kingdom Intellectual Property Office, Application No. GB2018051.9, mailed Nov. 5, 2021.
Final Notice of Preliminary Rejection, Korean Patent Office, Application No. 10-2019-7036236, mailed Nov. 29, 2021.
International Search Report and Written Opinion of the International Searching Authority, International Application No. PCT/US2020/024864, mailed Jul. 6, 2020.
International Search Report and Written Opinion of the International Searching Authority, International Application No. PCT/GB2020/050822, mailed Aug. 31, 2020.
International Search Report and Written Opinion of the International Searching Authority, International Application No. PCT/GB2020/051438, mailed Sep. 28, 2020.
Invitation to Pay Additional Fees, Partial International Search Report and Provisional Opinion of the International Searching Authority, International Application No. PCT/US2020/052537, mailed Jan. 14, 2021.
International Search Report and Written Opinion of the International Searching Authority, International Application No. PCT/US2020/056610, mailed Jan. 21, 2021.
International Search Report and Written Opinion of the International Searching Authority, International Application No. PCT/GB2020/052537, mailed Mar. 9, 2021.
Examination Report under Section 18(3), United Kingdom Intellectual Property Office, Application No. GB2018050.1, mailed Dec. 22, 2021.
Second Office Action, National Intellectual Property Administration, PRC, Application No. 2019800208570, issued Jan. 19, 2022.
Examination Report under Section 18(3), United Kingdom Intellectual Property Office, Application No. GB2106247.6, mailed Mar. 31, 2022.
Combined Search and Examination Report under Sections 17 and 18(3), UKIPO, Application No. GB2210174.5, mailed Aug. 1, 2022.
Examination Report under Section 18(3), UKIPO, Application No. GB2112207.2, mailed Aug. 18, 2022.
International Search Report and Written Opinion of the International Searching Authority, International Application No. PCT/US2022/030541, mailed Sep. 1, 2022.
Vanderborght, B. et al., Variable impedance actuators: A review; Robotics and Autonomous Systems 61, Aug. 6, 2013, pp. 1601-1614.
International Search Report and Written Opinion of the International Searching Authority, International Application No. PCT/US2022/033190, mailed Sep. 8, 2022.
International Search Report and Written Opinion of the International Searching Authority, International Application No. PCT/US2022/033230, mailed Sep. 15, 2022.
Examination Report under Section 18(3), UKIPO, Application No. GB2115048.7 mailed Aug. 24, 2022.
Communication Pursuant to Article 94(3) EPC, European Patent Office, Application No. 18727512.8, mailed Sep. 26, 2022.
Examination Report under Section 18(3), UKIPO, Application No. GB2112207.2, mailed Nov. 7, 2022.
Examination Report, Intellectual Property India, Application No. 202117019138, mailed Jan. 4, 2023.
Examination Report under Section 18(3), UKIPO, Application No. GB2113228.7, mailed Feb. 10, 2023.
Examination Report under Section 18(3), UKIPO, Application No. GB2113154.5, mailed Feb. 17, 2023.
First Office Action, China National Intellectual Property Administration, Application No. 2019107179621, mailed Jan. 19, 2023.
Examination Report under Section 18(3), UKIPO, Application No. GB2117488.3, mailed Apr. 27, 2023.
Second Office Action, National Intellectual Property Administration, PRC, Application No. 2019107179621, issued May 24, 2023.
Examination Report under Section 18(3), UKIPO, Application No. GB2113228.7, mailed Jun. 28, 2023.
Combined Search and Examination Report under Sections 17 and 18(3), UKIPO, Application No. GB2204956.3, mailed Jul. 24, 2023.
Notice of Preliminary Rejection, Korean Intellectual Property Office, Application No. 10-2023-7029306, mailed Sep. 19, 2023.
Examination Report under Section 17, UKIPO, Application No. GB2311104.0 mailed Sep. 4, 2023.
Examination Report under Section 17, UKIPO, Application No. GB2311103.2 mailed Sep. 11, 2023.
Related Publications (1)
Number Date Country
20200314969 A1 Oct 2020 US
Provisional Applications (1)
Number Date Country
62825950 Mar 2019 US