Methods and systems for improving transducer dynamics

Patent metadata

Field	Value
Publication number	US-11283337-B2
Application number	US-202016816790-A
Country	US
Kind code	B2
Filing date	Mar 12, 2020
Priority date	Mar 29, 2019
Publication date	Mar 22, 2022
Grant date	Mar 22, 2022

Abstract

A system may include a signal generator configured to generate a raw waveform signal and a modeling subsystem configured to implement a discrete time model of an electromagnetic load that emulates a virtual electromagnetic load and further configured to modify the raw waveform signal to generate a waveform signal for driving the electromagnetic load by modifying the virtual electromagnetic load to have a desired characteristic, applying the discrete time model to the raw waveform signal to generate the waveform signal for driving the electromagnetic load, and applying the waveform signal to the electromagnetic load.

First claim

What is claimed is:

1. A system comprising:
a signal generator configured to generate a raw waveform signal; and
a modeling subsystem configured to implement a discrete time model of a physical electromagnetic load wherein the discrete time model emulates a virtual electromagnetic load and the modeling subsystem further configured to modify the raw waveform signal to generate a waveform signal for driving the physical electromagnetic load by:
modifying the virtual electromagnetic load to have a desired characteristic;
applying the discrete time model to the raw waveform signal to generate the waveform signal for driving the physical electromagnetic load; and
applying the waveform signal to the physical electromagnetic load.

2. The system of claim 1 , wherein the physical electromagnetic load is a haptic transducer.

3. The system of claim 1 , wherein the discrete time model is based on one or more parameters of the physical electromagnetic load determined based on laboratory simulation.

4. The system of claim 1 , wherein the discrete time model is based on one or more parameters of the physical electromagnetic load determined based on real-time estimation of the one or more parameters during operation of the system.

5. The system of claim 4 , wherein the real-time estimation is performed based on broadband content of at least a beginning of a transient of the waveform signal and an end of a transient of the waveform signal.

6. The system of claim 4 , wherein the modeling subsystem is configured to periodically update the real-time estimation in order to achieve the desired characteristic.

7. The system of claim 1 , wherein the desired characteristic is a desired impedance of a virtual transducer.

8. A method comprising:
implementing a discrete time model of a physical electromagnetic load that emulates a virtual electromagnetic load; and
modifying a raw waveform signal to generate a waveform signal for driving the physical electromagnetic load by:
modifying the virtual electromagnetic load to have a desired characteristic;
applying the discrete time model to the raw waveform signal to generate the waveform signal for driving the physical electromagnetic load; and
applying the waveform signal to the physical electromagnetic load.

9. The method of claim 8 , wherein the physical electromagnetic load is a haptic transducer.

10. The method of claim 8 , wherein the discrete time model is based on one or more parameters of the physical electromagnetic load determined based on laboratory simulation.

11. The method of claim 8 , wherein the discrete time model is based on one or more parameters of the physical electromagnetic load determined based on real-time estimation of the one or more parameters during operation of the system.

12. The method of claim 11 , wherein the real-time estimation is performed based on broadband content of at least a beginning of a transient of the waveform signal and an end of a transient of the waveform signal.

13. The method of claim 11 , further comprising periodically updating the real-time estimation in order to achieve the desired characteristic.

14. The method of claim 8 , wherein the desired characteristic is a desired impedance of a virtual transducer.

15. A host device comprising:
a physical electromagnetic load;
a signal generator configured to generate a raw waveform signal; and
a modeling subsystem configured to implement a discrete time model of the physical electromagnetic load wherein the discrete time model emulates a virtual electromagnetic load and the modeling subsystem further configured to modify the raw waveform signal to generate a waveform signal for driving the physical electromagnetic load by:
modifying the virtual electromagnetic load to have a desired characteristic;
applying the discrete time model to the raw waveform signal to generate the waveform signal for driving the physical electromagnetic load; and
applying the waveform signal to the physical electromagnetic load.

16. The host device of claim 15 , wherein the physical electromagnetic load is a haptic transducer.

17. The host device of claim 15 , wherein the discrete time model is based on one or more parameters of the physical electromagnetic load determined based on laboratory simulation.

18. The host device of claim 15 , wherein the discrete time model is based on one or more parameters of the physical electromagnetic load determined based on real-time estimation of the one or more parameters during operation of the system.

19. The host device of claim 18 , wherein the real-time estimation is performed based on broadband content of at least a beginning of a transient of the waveform signal and an end of a transient of the waveform signal.

20. The host device of claim 18 , wherein the modeling subsystem is configured to periodically update the real-time estimation in order to achieve the desired characteristic.

21. The host device of claim 15 , wherein the desired characteristic is a desired impedance of a virtual transducer.

Assignees

• Cirrus Logic Int Semiconductor Ltd
• Cirrus Logic Inc

Inventors

• Lindemann Eric
• Ståhl Carl Lennart
• Marchais Emmanuel
• Melanson John L

Classifications

• H03F1/0211

  with control of the supply voltage or current · CPC title

• G08B6/00

  Tactile signalling systems, e.g. tactile personal calling systems · CPC title

• B06B1/0261

  taken from a transducer or electrode connected to the driving transducer · CPC title

• G06F1/022 Primary

  Waveform generators, i.e. devices for generating periodical functions of time, e.g. direct digital synthesizers (G06F1/025, G06F1/03 take precedence) · CPC title

• H02K33/00 Primary

  Motors with reciprocating, oscillating or vibrating magnet, armature or coil system (arrangements for handling mechanical energy structurally associated with motors H02K7/00, e.g. H02K7/06) · CPC title