WO2022265825A1 - Procédés et systèmes pour estimation intégrée au système de paramètres d'actionneur - Google Patents

Procédés et systèmes pour estimation intégrée au système de paramètres d'actionneur Download PDF

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Publication number
WO2022265825A1
WO2022265825A1 PCT/US2022/030541 US2022030541W WO2022265825A1 WO 2022265825 A1 WO2022265825 A1 WO 2022265825A1 US 2022030541 W US2022030541 W US 2022030541W WO 2022265825 A1 WO2022265825 A1 WO 2022265825A1
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WIPO (PCT)
Prior art keywords
actuator
parameters
test signal
signal
voltage
Prior art date
Application number
PCT/US2022/030541
Other languages
English (en)
Inventor
Jorge L. REYNAGA
Marco A. Janko
Emmanuel A. Marchais
John L. Melanson
Original Assignee
Cirrus Logic International Semiconductor Ltd.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Publication date
Priority claimed from US17/574,188 external-priority patent/US11933822B2/en
Application filed by Cirrus Logic International Semiconductor Ltd. filed Critical Cirrus Logic International Semiconductor Ltd.
Priority to JP2023576385A priority Critical patent/JP2024522679A/ja
Priority to EP22738094.6A priority patent/EP4355500A1/fr
Priority to KR1020247001313A priority patent/KR20240021907A/ko
Priority to CN202280043376.3A priority patent/CN117500611A/zh
Publication of WO2022265825A1 publication Critical patent/WO2022265825A1/fr

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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/28—Testing of electronic circuits, e.g. by signal tracer
    • G01R31/282—Testing of electronic circuits specially adapted for particular applications not provided for elsewhere
    • G01R31/2829—Testing of circuits in sensor or actuator systems
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B06—GENERATING OR TRANSMITTING MECHANICAL VIBRATIONS IN GENERAL
    • B06B—METHODS OR APPARATUS FOR GENERATING OR TRANSMITTING MECHANICAL VIBRATIONS OF INFRASONIC, SONIC, OR ULTRASONIC FREQUENCY, e.g. FOR PERFORMING MECHANICAL WORK IN GENERAL
    • B06B1/00—Methods or apparatus for generating mechanical vibrations of infrasonic, sonic, or ultrasonic frequency
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H15/00—Measuring mechanical or acoustic impedance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/016—Input arrangements with force or tactile feedback as computer generated output to the user

Definitions

  • the present disclosure relates in general to in-system detection of parameters associated with an electromagnetic actuator, such as a linear resonant actuator or haptic transducer.
  • 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.
  • FIGURE 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.
  • 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.
  • the resonance frequency fo of a haptic transducer may be approximately estimated as: 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, component changes caused by self-heating, 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.
  • FIGURE 2A illustrates an example of a linear resonant actuator (LRA) modelled as a linear system including a mass-spring system 201.
  • LRA linear resonant actuator
  • FIGURE 2B illustrates an example of an LRA modelled as a linear system, including an electrically equivalent model of mass-spring system 201 of LRA.
  • the LRA is modelled as a third order system having electrical and mechanical elements.
  • 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 F(t) with the output impedance Ro.
  • the terminal voltage V T (t) may be sensed across the terminals of the haptic transducer.
  • the mass-spring system 201 moves with velocity u(t).
  • An electromagnetic load such as an LRA may be characterized by its impedance Z LRA as seen as the sum of a coil impedance Z coa and a mechanical impedance Z mech :
  • Coil impedance Z coa may in turn comprise a direct current (DC) resistance Re in series with an inductance Le :
  • Mechanical impedance Z mech may be defined by three parameters including the resistance at resonance Res representing an electrical resistance representative of mechanical friction of the mass-spring system of the haptic transducer, a capacitance Cmes representing an electrical capacitance representative of an equivalent moving mass M of the mass-spring system of the haptic transducer, and inductance Lees representative of a compliance C of the mass-spring system of the haptic transducer.
  • the electrical equivalent of the total mechanical impedance is the parallel connection of Res, Cmes, Lees. The Laplace transform of this parallel connection is described by:
  • the resonant frequency f 0 of the haptic transducer can be represented as:
  • the quality factor Q of the LRA can be represented as:
  • FIGURE 2B may be considered to have a low source impedance, ideally zero source impedance. Under these conditions, when driving voltage Ve goes to zero, the voltage amplifier effectively disappears from the circuit. At that point, the top-most terminal of resistance Re in FIGURE 2B is grounded as is the bottom-most terminal of resistance Res, and so resistances Re and Res are indeed connected in parallel as reflected in equation (6).
  • FIGURE 3 is a graph of an example response of an LRA, depicting an example driving signal to the LRA, a current through the LRA, and a back electromotive force (back EMF) of the LRA, wherein such back EMF may be proportional to the velocity of a moving element (e.g., coil or magnet) of the transducer.
  • back EMF back electromotive force
  • the attack time of the back EMF may be slow as energy is transferred to the LRA, and some “ringing” of the back EMF may occur after the driving signal has ended as the mechanical energy stored in the LRA is discharged.
  • a transducer driving system may need to apply optimized tuning parameters for a given actuator model, which traditionally may require implementation of costly factory calibration procedures. Accordingly, it may be desirable to reduce factory calibration by seamlessly performing actuator parameter measurements during system powering on or during use of an actuator without impacting user experience.
  • the human tactile system is particularly sensitive to frequencies in the range of 100 - 400 Hz. Accordingly, LRAs are often designed to have a resonant frequency in the range of 150 Hz - 250 Hz . This resonance characteristic implies, in most cases, relatively large acceleration rise time. Additionally, after the LRA’s mass is set in motion, decreasing the amplitude of the input voltage may not decrease the motion amplitude of the mass instantaneously. Instead, the motion of the mass will decay slowly. With the use of optimized tuning parameters, LRA algorithms may enable consistent acceleration across multiple LRA samples, reduce the ramp-up/braking time, and/or enhance an end-user experience of haptic effects.
  • a method for estimating actuator parameters for an actuator may include driving the actuator with a test signal imperceptible to a user of a device comprising the actuator during real-time operation of the device, measuring a voltage and a current associated with the actuator and caused by the test signal, determining one or more parameters of the actuator based on the voltage and the current, determining an actuator type of the actuator based on the one or more parameters, and controlling a playback signal to the actuator based on the actuator type.
  • a system for estimating actuator parameters for an actuator, in-situ and in real-time may include a test signal generator configured to generate a test signal imperceptible to a user of a device comprising the actuator in order to drive the actuator during real-time operation of the device and a measurement subsystem configured to measure a voltage and a current associated with the actuator and caused by the test signal, determine one or more parameters of the actuator based on the voltage and the current, determine an actuator type of the actuator based on the one or more parameters, and control a playback signal to the actuator based on the actuator type.
  • FIGURE 1 illustrates an example of a vibro-haptic system in a device, as is known in the art
  • FIGURES 2A and 2B each illustrate an example of a Linear Resonant Actuator (LRA) modelled as a linear system, as is known in the art;
  • FIGURE 3 illustrates a graph of example waveforms of an electromagnetic load, as is known in the art;
  • LRA Linear Resonant Actuator
  • FIGURE 4 illustrates a graph of desirable example waveforms of an electromagnetic load, in accordance with embodiments of the present disclosure
  • FIGURE 5 illustrates a block diagram of selected components of an example mobile device, in accordance with embodiments of the present disclosure
  • FIGURE 6 illustrates a block diagram of selected components of an example integrated haptic system, in accordance with embodiments of the present disclosure
  • FIGURE 7 illustrates selected components of an example system comprising an electromagnetic load, in accordance with embodiments of the present disclosure
  • FIGURE 8 illustrates a circuit diagram of an example implementation of a sense resistor for measuring current, in accordance with embodiments of the present disclosure.
  • FIGURE 9 illustrates a flow chart of an example method for in-system estimation of actuator parameters and compensation therefor, in accordance with embodiments of 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.
  • 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.
  • an electronic device 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.
  • 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.
  • the driving signal will generally be an analog time varying voltage signal, for example, a time varying waveform.
  • FIGURE 5 illustrates a block diagram of selected components of an example host device 502, in accordance with embodiments of the present disclosure.
  • host device 502 may comprise an enclosure 501, a controller 503, a memory 504, a force sensor 505, a microphone 506, a linear resonant actuator 507, a radio transmitter/receiver 508, a speaker 510, and an integrated haptic system 512.
  • Enclosure 501 may comprise any suitable housing, casing, or other enclosure for housing the various components of host device 502.
  • Enclosure 501 may be constructed from plastic, metal, and/or any other suitable materials.
  • enclosure 501 may be adapted (e.g., sized and shaped) such that host device 502 is readily transported on a person of a user of host device 502.
  • host device 502 may include but is not limited to a smart phone, a tablet computing device, a handheld computing device, a personal digital assistant, a notebook computer, a video game controller, or any other device that may be readily transported on a person of a user of host device 502.
  • Controller 503 may be housed within enclosure 501 and may include any system, device, or apparatus configured to interpret and/or execute program instructions and/or process data, and may include, without limitation a microprocessor, microcontroller, digital signal processor (DSP), application specific integrated circuit (ASIC), or any other digital or analog circuitry configured to interpret and/or execute program instructions and/or process data.
  • controller 503 interprets and/or executes program instructions and/or processes data stored in memory 504 and/or other computer-readable media accessible to controller 503.
  • Memory 504 may be housed within enclosure 501, may be communicatively coupled to controller 503, and may include any system, device, or apparatus configured to retain program instructions and/or data for a period of time (e.g., computer-readable media).
  • Memory 504 may include random access memory (RAM), electrically erasable programmable read-only memory (EEPROM), a Personal Computer Memory Card International Association (PCMCIA) card, flash memory, magnetic storage, opto-magnetic storage, or any suitable selection and/or array of volatile or non-volatile memory that retains data after power to host device 502 is turned off.
  • RAM random access memory
  • EEPROM electrically erasable programmable read-only memory
  • PCMCIA Personal Computer Memory Card International Association
  • flash memory magnetic storage
  • opto-magnetic storage or any suitable selection and/or array of volatile or non-volatile memory that retains data after power to host device 502 is turned off.
  • Microphone 506 may be housed at least partially within enclosure 501, may be communicatively coupled to controller 503, and may comprise any system, device, or apparatus configured to convert sound incident at microphone 506 to an electrical signal that may be processed by controller 503, wherein such sound is converted to an electrical signal using a diaphragm or membrane having an electrical capacitance that varies based on sonic vibrations received at the diaphragm or membrane.
  • Microphone 506 may include an electrostatic microphone, a condenser microphone, an electret microphone, a microelectromechanical systems (MEMS) microphone, or any other suitable capacitive microphone.
  • MEMS microelectromechanical systems
  • Radio transmitter/receiver 508 may be housed within enclosure 501, may be communicatively coupled to controller 503, and may include any system, device, or apparatus configured to, with the aid of an antenna, generate and transmit radio frequency signals as well as receive radio-frequency signals and convert the information carried by such received signals into a form usable by controller 503.
  • Radio transmitter/receiver 508 may be configured to transmit and/or receive various types of radio-frequency signals, including without limitation, cellular communications (e.g., 2G, 3G, 4G, LTE, etc.), short-range wireless communications (e.g., BLUETOOTH), commercial radio signals, television signals, satellite radio signals (e.g., GPS), Wireless Fidelity, etc.
  • cellular communications e.g., 2G, 3G, 4G, LTE, etc.
  • short-range wireless communications e.g., BLUETOOTH
  • commercial radio signals e.g., television signals, satellite radio signals (e.g., GPS), Wireless Fidelity
  • a speaker 510 may be housed at least partially within enclosure 501 or may be external to enclosure 501, may be communicatively coupled to controller 503, and may comprise any system, device, or apparatus configured to produce sound in response to electrical audio signal input.
  • a speaker may comprise a dynamic loudspeaker, which employs a lightweight diaphragm mechanically coupled to a rigid frame via a flexible suspension that constrains a voice coil to move axially through a cylindrical magnetic gap.
  • a dynamic loudspeaker employs a lightweight diaphragm mechanically coupled to a rigid frame via a flexible suspension that constrains a voice coil to move axially through a cylindrical magnetic gap.
  • Force sensor 505 may be housed within enclosure 501, and may include any suitable system, device, or apparatus for sensing a force, a pressure, or a touch (e.g., an interaction with a human finger) and generating an electrical or electronic signal in response to such force, pressure, or touch.
  • a force, a pressure, or a touch e.g., an interaction with a human finger
  • an electrical or electronic signal may be a function of a magnitude of the force, pressure, or touch applied to the force sensor.
  • such electronic or electrical signal may comprise a general purpose input/output signal (GPIO) associated with an input signal to which haptic feedback is given.
  • GPIO general purpose input/output signal
  • Force sensor 505 may include, without limitation, a capacitive displacement sensor, an inductive force sensor (e.g., a resistive-inductive-capacitive sensor), a strain gauge, a piezoelectric force sensor, force sensing resistor, piezoelectric force sensor, thin film force sensor, or a quantum tunneling composite-based force sensor.
  • a capacitive displacement sensor e.g., a capacitive displacement sensor, an inductive force sensor (e.g., a resistive-inductive-capacitive sensor), a strain gauge, a piezoelectric force sensor, force sensing resistor, piezoelectric force sensor, thin film force sensor, or a quantum tunneling composite-based force sensor.
  • force as used herein may refer not only to force, but to physical quantities indicative of force or analogous to force, such as, but not limited to, pressure and touch.
  • Linear resonant actuator 507 may be housed within enclosure 501, and may include any suitable system, device, or apparatus for producing an oscillating mechanical force across a single axis.
  • linear resonant actuator 507 may rely on an alternating current voltage to drive a voice coil pressed against a moving mass connected to a spring. When the voice coil is driven at the resonant frequency of the spring, linear resonant actuator 507 may vibrate with a perceptible force.
  • linear resonant actuator 507 may be useful in haptic applications within a specific frequency range.
  • linear resonant actuator 507 any other type or types of vibrational actuators (e.g., eccentric rotating mass actuators) may be used in lieu of or in addition to linear resonant actuator 507.
  • actuators arranged to produce an oscillating mechanical force across multiple axes may be used in lieu of or in addition to linear resonant actuator 507.
  • a linear resonant actuator 507 based on a signal received from integrated haptic system 512, may render haptic feedback to a user of host device 502 for at least one of mechanical button replacement and capacitive sensor feedback.
  • Integrated haptic system 512 may be housed within enclosure 501, may be communicatively coupled to force sensor 505 and linear resonant actuator 507, and may include any system, device, or apparatus configured to receive a signal from force sensor 505 indicative of a force applied to host device 502 (e.g., a force applied by a human finger to a virtual button of host device 502) and generate an electronic signal for driving linear resonant actuator 507 in response to the force applied to host device 502.
  • a force applied to host device 502 e.g., a force applied by a human finger to a virtual button of host device 502
  • FIGURE 6 Detail of an example integrated haptic system in accordance with embodiments of the present disclosure is depicted in FIGURE 6.
  • a host device 502 in accordance with this disclosure may comprise one or more components not specifically enumerated above.
  • FIGURE 5 depicts certain user interface components
  • host device 502 may include one or more other user interface components in addition to those depicted in FIGURE 5 (including but not limited to a keypad, a touch screen, and a display), thus allowing a user to interact with and/or otherwise manipulate host device 502 and its associated components.
  • FIGURE 6 illustrates a block diagram of selected components of an example integrated haptic system 512A, in accordance with embodiments of the present disclosure.
  • integrated haptic system 512A may be used to implement integrated haptic system 512 of FIGURE 5.
  • integrated haptic system 512A may include a digital signal processor (DSP) 602, a memory 604, and an amplifier 606.
  • DSP digital signal processor
  • DSP 602 may include any system, device, or apparatus configured to interpret and/or execute program instructions and/or process data. In some embodiments, DSP 602 may interpret and/or execute program instructions and/or process data stored in memory 604 and/or other computer-readable media accessible to DSP 602.
  • Memory 604 may be communicatively coupled to DSP 602, and may include any system, device, or apparatus configured to retain program instructions and/or data for a period of time (e.g., computer-readable media).
  • Memory 604 may include random access memory (RAM), electrically erasable programmable read-only memory (EEPROM), a Personal Computer Memory Card International Association (PCMCIA) card, flash memory, magnetic storage, opto-magnetic storage, or any suitable selection and/or array of volatile or non-volatile memory that retains data after power to host device 502 is turned off.
  • RAM random access memory
  • EEPROM electrically erasable programmable read-only memory
  • PCMCIA Personal Computer Memory Card International Association
  • flash memory magnetic storage
  • opto-magnetic storage or any suitable selection and/or array of volatile or non-volatile memory that retains data after power to host device 502 is turned off.
  • Amplifier 606 may be electrically coupled to DSP 602 and may comprise any suitable electronic system, device, or apparatus configured to increase the power of an input signal VIN (e.g., a time-varying voltage or current) to generate an output signal VOUT.
  • VIN e.g., a time-varying voltage or current
  • amplifier 606 may use electric power from a power supply (not explicitly shown) to increase the amplitude of a signal.
  • Amplifier 606 may include any suitable amplifier class, including without limitation, a Class-D amplifier.
  • memory 604 may store one or more haptic playback waveforms.
  • each of the one or more haptic playback waveforms may define a haptic response a(t) as a desired acceleration of a linear resonant actuator (e.g., linear resonant actuator 507) as a function of time.
  • DSP 602 may be configured to receive a force signal VSENSE indicative of force applied to force sensor 505. Either in response to receipt of force signal VSENSE indicating a sensed force or independently of such receipt, DSP 602 may retrieve a haptic playback waveform from memory 604 and process such haptic playback waveform to determine a processed haptic playback signal VIN.
  • processed haptic playback signal VIN may comprise a pulse- width modulated signal.
  • DSP 602 may cause processed haptic playback signal VIN to be output to amplifier 606, and amplifier 606 may amplify processed haptic playback signal VIN to generate a haptic output signal VOUT for driving linear resonant actuator 507.
  • integrated haptic system 512A may be formed on a single integrated circuit, thus enabling lower latency than existing approaches to haptic feedback control.
  • integrated haptic system 512A as part of a single monolithic integrated circuit, latencies between various interfaces and system components of integrated haptic system 512A may be reduced or eliminated.
  • FIGURE 7 illustrates selected components of an example system 700 comprising an electromagnetic load 701, in accordance with embodiments of the present disclosure.
  • System 700 may include or be integral to, without limitation, a mobile device, home application, vehicle, and/or any other system, device, or apparatus that includes a human-machine interface.
  • Electromagnetic load 701 may include any suitable load with a complex impedance, including without limitation, a haptic transducer, a loudspeaker, a microspeaker, a piezoelectric transducer, a voice- coil actuator, a solenoid, or other suitable transducer.
  • a signal generator 724 of a transducer driving subsystem 705 of system 700 may generate a raw transducer driving signal x'(t) (which, in some embodiments, may be a waveform signal, such as a haptic waveform signal or audio signal).
  • Raw transducer driving signal x'(t) may be generated based on a desired playback waveform received by signal generator 724.
  • Raw transducer driving signal x'(t) may be received by waveform preprocessor 726 which may modify raw transducer driving signal x'(t) based on one or more parameters generated by impedance measurement subsystem 708 wherein such one or more parameters may be associated with electromagnetic load 701.
  • Processed transducer driving signal x(t) may in turn be amplified by amplifier
  • a sensed terminal voltage V T (t) of electromagnetic load 701 may be sensed by a terminal voltage sensing block 707, for example a volt meter, and converted to a digital representation by a first analog-to-digital converter (ADC) 703.
  • ADC analog-to-digital converter
  • sensed current /(t) may be converted to a digital representation by a second ADC 704.
  • Current I(t) may be sensed across a shunt resistor 702 having resistance R s coupled to a terminal of electromagnetic load 701.
  • transducer driving subsystem 705 may include an impedance measurement subsystem 708 that may estimate an impedance of electromagnetic load 701, including without limitation, DC resistance Re and coil inductance Le of electromagnetic load 701. Based on such measurements, impedance measurement subsystem 708 may communicate such parameters and/or any other suitable parameters (e.g., mechanical impedance parameters Res, Cmes, and Lees) to waveform preprocessor 726. Based on such parameters, waveform preprocessor 726 may modify raw transducer driving signal x (t) in a manner intended to optimize performance of electromagnetic load 701 (e.g., modify driving or braking of electromagnetic load to enhance human perception of crispness of a haptic effect).
  • impedance measurement subsystem 708 may communicate such parameters and/or any other suitable parameters (e.g., mechanical impedance parameters Res, Cmes, and Lees) to waveform preprocessor 726.
  • waveform preprocessor 726 may modify raw transducer driving signal x (t) in a manner intended to optimize performance of electromagnetic load 701
  • both the speed and the position of the moving mass of the actuator may be captured by the back-EMF Vbemf (going forward, referred as VB) and h respectively (e.g., back-EMF VB is proportional to the velocity and current h is proportional to the position of the moving mass).
  • the linear state space model of the transducer model illustrated in FIGURE 2B is represented by the following equations: where voltage Ve of the transducer model illustrated in FIGURE 2B may be given by sensed terminal voltage V T (t).
  • impedance measurement subsystem 708 may provide estimation of one or more of the internal parameters of the actuator, including DC resistance Re, coil inductance Le, a parallel mechanical resistance Res, a parallel capacitance Cmes, and/or a parallel inductance Lees, if measurements of current and input voltage exciting the frequency regions of interest are available.
  • impedance measurement subsystem 708 may generate a test signal (e.g., a pilot tone signal), and waveform preprocessor 726 may either combine such test signal with raw transducer driving signal x'(t) to generate processed transducer driving signal x(t), or may mute raw transducer driving signal x' (t) and generate the test signal as processed transducer driving signal x(t).
  • a test signal e.g., a pilot tone signal
  • waveform preprocessor 726 may either combine such test signal with raw transducer driving signal x'(t) to generate processed transducer driving signal x(t), or may mute raw transducer driving signal x' (t) and generate the test signal as processed transducer driving signal x(t).
  • test signal may have a transducer driving signal that has a human non-perceptible duration, a human non-perceptible amplitude, and/or a frequency not typically used by a final application of electromagnetic load 701 to stimulate electromagnetic load 701 (e.g., a frequency much different than the resonant frequency of electromagnetic load 701). Accordingly, the test signal may be imperceptible to a user of system 700 when system 700 is being operated and used in real time.
  • a non-perceptible duration may be approximately 5 milliseconds.
  • a non-perceptible amplitude may be between approximately 170 millivolts and approximately 330 millivolts.
  • a frequency not typically used by a final application of electromagnetic load 701 to stimulate electromagnetic load 701 may depend on the type of electromagnetic load 701 and may vary based on the type of electromagnetic load 701.
  • impedance measurement subsystem 708 may measure sensed terminal voltage V T t) and sensed current /(t) caused by driving the test signal to electromagnetic load 701.
  • impedance measurement subsystem 708 may estimate parameters of electromagnetic load 701 (e.g., DC resistance Re, coil inductance Le, a parallel mechanical resistance Res, a parallel capacitance Cmes, and/or a parallel inductance Lees) and communicate such parameters to waveform preprocessor 726.
  • waveform preprocessor 726 may determine a type of electromagnetic load 701 present in system 700 and based thereon, perform optimized control of raw transducer driving signal x (t) to generate processed transducer driving signal x(t).
  • FIGURE 8 illustrates a circuit diagram of an example implementation of sense resistor 702, in accordance with embodiments of the present disclosure.
  • sense resistor 702 may be implemented using two selectable resistors 802 and 803 with a switch 801 for selecting between usage of resistor 802 and resistor 803.
  • a resistance of resistor 802 may be significantly higher than a resistance of resistor 803.
  • a tolerance to voltage drops across sense resistor 702 may be higher, meaning that a resistance value Rs may be desirable only while playing the test signal to increase the signal-to-noise ratio of the measurement of sensed current / (t) caused using the same voltage measurement device (e.g., second ADC 704) coupled to the terminals of sense resistor 702.
  • system 700 may operate in two different modes: a) a characterization mode in which larger resistor 802 is selected and impedance measurement subsystem 708 measures sensed current /(t); and b) an activation mode in which in which smaller resistor 803 is selected (e.g., to have a smaller effect on desired haptic operation of electromagnetic load 701) and intended, human-perceptible waveforms are driven to electromagnetic load 701.
  • impedance measurement subsystem 708 and/or another portion of transducer driving subsystem 705 may generate a control signal for operating switch 801 to select between resistor 802 and resistor 803.
  • FIGURE 9 illustrates a flow chart of an example method for in-system estimation of actuator parameters and compensation therefor, in accordance with embodiments of the present disclosure.
  • method 900 may begin at step 902.
  • teachings of the present disclosure may be implemented in a variety of configurations of system 700. As such, the preferred initialization point for method 900 and the order of the steps comprising method 900 may depend on the implementation chosen.
  • system 700 may power on or reset.
  • step 904 after loading of firmware for implementing all or a portion of transducer driving subsystem 705, system 700 may enter the characterization mode and impedance measurement subsystem 708 may cause a test signal to be driven as driving signal V(t ) for driving electromagnetic load 701.
  • impedance measurement subsystem 708 may measure sensed terminal voltage V T (t) and sensed current /(t) caused by driving the test signal to electromagnetic load 701.
  • impedance measurement subsystem 708 may estimate parameters of electromagnetic actuator 701 (e.g., DC resistance Re, coil inductance Le, a parallel mechanical resistance Res, a parallel capacitance Cmes, and/or a parallel inductance Lees) and communicate such parameters to waveform preprocessor 726.
  • electromagnetic actuator 701 e.g., DC resistance Re, coil inductance Le, a parallel mechanical resistance Res, a parallel capacitance Cmes, and/or a parallel inductance Lees
  • waveform preprocessor 726 may determine a type of electromagnetic load 701 present in system 700.
  • system 700 may enter the activation mode in which waveform preprocessor 726 may perform optimized control of raw transducer driving signal x' ( t ) to generate processed transducer driving signal x(t).
  • FIGURE 9 discloses a particular number of steps to be taken with respect to method 900, it may be executed with greater or fewer steps than those depicted in FIGURE 9.
  • FIGURE 9 discloses a certain order of steps to be taken with respect to method 900, the steps comprising method 900 may be completed in any suitable order.
  • Method 900 may be implemented using transducer driving subsystem 705, components thereof or any other system operable to implement method 900.
  • method 900 may be implemented partially or fully in software and/or firmware embodied in computer-readable media.
  • references 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.
  • each refers to each member of a set or each member of a subset of a set.

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  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
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  • Electromagnetism (AREA)
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Abstract

Un procédé d'estimation de paramètres d'actionneur pour un actionneur, in situ et en temps réel, pouvant consister à entraîner l'actionneur avec un signal de test imperceptible à un utilisateur d'un dispositif comprenant l'actionneur pendant le fonctionnement en temps réel du dispositif, à mesurer une tension et un courant associés à l'actionneur et provoqués par le signal de test, à déterminer un ou plusieurs paramètres de l'actionneur sur la base de la tension et du courant, à déterminer un type d'actionneur de l'actionneur sur la base du ou des paramètres, et à commander un signal de lecture à l'actionneur sur la base du type d'actionneur.
PCT/US2022/030541 2021-06-16 2022-05-23 Procédés et systèmes pour estimation intégrée au système de paramètres d'actionneur WO2022265825A1 (fr)

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JP2023576385A JP2024522679A (ja) 2021-06-16 2022-05-23 アクチュエータ・パラメータのシステム内推定のための方法及びシステム
EP22738094.6A EP4355500A1 (fr) 2021-06-16 2022-05-23 Procédés et systèmes pour estimation intégrée au système de paramètres d'actionneur
KR1020247001313A KR20240021907A (ko) 2021-06-16 2022-05-23 액츄에이터 파라미터들의 시스템내 추정용 방법들 및 시스템들
CN202280043376.3A CN117500611A (zh) 2021-06-16 2022-05-23 用于致动器参数的系统内估计的方法和系统

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US202163211128P 2021-06-16 2021-06-16
US63/211,128 2021-06-16
US17/574,188 US11933822B2 (en) 2021-06-16 2022-01-12 Methods and systems for in-system estimation of actuator parameters
US17/574,188 2022-01-12

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200313654A1 (en) * 2019-03-29 2020-10-01 Cirrus Logic International Semiconductor Ltd. Identifying mechanical impedance of an electromagnetic load using least-mean-squares filter
US20210125469A1 (en) * 2019-10-24 2021-04-29 Cirrus Logic International Semiconductor Ltd. Reproducibility of haptic waveform

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200313654A1 (en) * 2019-03-29 2020-10-01 Cirrus Logic International Semiconductor Ltd. Identifying mechanical impedance of an electromagnetic load using least-mean-squares filter
US20210125469A1 (en) * 2019-10-24 2021-04-29 Cirrus Logic International Semiconductor Ltd. Reproducibility of haptic waveform

Non-Patent Citations (1)

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Title
VANDERBORGHT B ET AL: "Variable impedance actuators: A review", ROBOTICS AND AUTONOMOUS SYSTEMS, vol. 61, no. 12, 1 December 2013 (2013-12-01), pages 1601 - 1614, XP028757853, ISSN: 0921-8890, DOI: 10.1016/J.ROBOT.2013.06.009 *

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