Methods and systems for improving transducer dynamics
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.
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.