DIELECTRIC ELASTOMER SELF-SENSING USING PLANE APPROXIMATION

• US 20130285577A1
• Filed: 10/18/2011
• Published: 10/31/2013
• Est. Priority Date: 10/18/2010
• Status: Active Grant

• Current Assignee: Auckland UniServices Limited (Auckland University)
• Original Assignee: Auckland UniServices Limited (Auckland University)
• Inventors: O'Brien, Benjamin Marc, Gisby, Todd Alan, Anderson, Iain Alexander
• Granted Patent: US 9,170,288 B2
• Time in Patent Office: Days
• US Class Current: 318/116
• CPC Class Codes: G01R 27/2617 Measuring dielectric properties, e.g. constants testing dielectric strength G01R31/12; detecting insulation faults G01R31/52; G01R27/2688 takes precedence
• CPC Class Codes: H02N 2/062 Small signal circuits; Means for controlling position or derived quantities, e.g. for removing hysteresis
• CPC Class Codes: H10N 30/802 Drive or control circuitry or methods for piezoelectric or electrostrictive devices not otherwise provided for

Abstract

The present invention provides a method for obtaining feedback parameters related to the state of a dielectric elastomer (DE). The method comprises introducing a small-scale oscillation to the voltage difference between electrodes of the DE, monitoring or repeatedly measuring several measurable electrical characteristics of the DE, deriving other relevant data from the measurements, deriving an equation for a plane of best fit through the relevant data when defined as orthogonal axes, and deriving the feedback parameters from coefficients of the plane equation. The method thus provides important feedback regarding the capacitance, leakage current and/or electrode resistance of the DE. Also disclosed are a computer program and a system adapted to perform the method.

Claims

1. A method for estimating feedback parameters for the state of a dielectric elastomer (DE), comprising the steps of:

introducing a small-scale oscillation to a voltage difference between electrodes of the DE;

measuring, over a period of time, potential difference across the DE and series current through the DE;

and

estimating one or more feedback parameters from coefficients of a plane of best fit through data derived from said measurements when defined as orthogonal axes.

2. The method of claim 1, wherein the feedback parameters comprises capacitance of the DE, and the capacitance is approximated by a first coefficient of the plane of best fit.

4. The method of claim 1, wherein the feedback parameters comprise leakage current through the DE, and the leakage current is estimated from a second coefficient of the plane of best fit.

7. The method of claim 1, wherein the step of estimating one or more feedback parameters from coefficients of the plane of best fit comprises performing regression analysis of the data derived from the measurements.

8. The method of claim 1, wherein the data derived from the measurements comprises potential difference across the DE, series current through the DE, charge supplied to the DE, and time, wherein the plane of best fit comprises a hyperplane.

9. The method of claim 8, wherein the feedback parameters comprise an equivalent series resistance of the DE, and the equivalent series resistance is estimated from a third coefficient of the plane of best fit.

10. The method of claim 9, wherein the equivalent series resistance is estimated by dividing the third coefficient of the plane of best fit by the capacitance of the DE.

11. The method of claim 4, wherein the leakage current is estimated from the second coefficient of the plane equation by subtracting the nominal combined effects of the rate of change of capacitance of the DE and the rate of change of equivalent series resistance of the DE from the second coefficient.

12. The method of claim 1, wherein the data derived from the measurements comprises the potential difference across the capacitive component of the DE and charge supplied to the DE over the period of time.

13. The method of claim 12, wherein the potential difference across the capacitive component of the DE is derived by subtracting a potential difference across an equivalent series resistance (ESR) of the DE from the potential difference across the DE.

14. The method of claim 13 wherein the ESR of the DE is estimated by the steps of:

supplying a Pulse Width Modulated (PWM) periodic actuation signal to the DE;

measuring the magnitude of a step change in voltage across the DE and the step change in current through the DE at the transition of the PWM actuation signal;

dividing the step change in voltage across the DE by the step change in current through the DE;

recording the time-history of the estimated ESR; and

deriving an approximation of ESR with respect to time from the recorded time-history of the estimated ESR, whereby the approximation is used to estimate the ESR between transitions of the PWM actuating signal.

16. The method of claim 4, wherein the leakage current is estimated from the second coefficient of the plane equation by subtracting the product of the rate of change of the capacitance of the DE and the potential difference across the capacitive component of the DE from the second coefficient.

17. The method of claim 8, wherein the charge supplied to the DE is derived by integrating the series current through the DE with respect to time.

18. The method of claim 1, wherein the DE comprises a dielectric elastomer actuator (DEA) and the method further comprises the step of controlling actuation of the DEA based upon the feedback parameters, thereby forming a closed-loop feedback control system.

19. The method of claim 18, further comprising the steps of:

receiving an input signal indicative of a required state of the DEA; and

adjusting one or more system inputs in response to both the input signal and the state of the DEA such that the state substantially matches the required state.

3. (canceled)

5-6. -6. (canceled)

15. (canceled)

20. A dielectric elastomer (DE) system comprising:

a DE comprising a pair of electrodes separated by an elastomer membrane;

a power supply adapted to provide a small-scale voltage oscillation to the DE;

sensors for measuring the potential difference across the DE and series current through the DE; and

a computing device communicatively coupled to the sensors, the computing device being adapted, over a predetermined period of time, to estimate one or more feedback parameters from coefficients of a plane of best fit through data derived from said measurements when defined as orthogonal axes.

21. The system of claim 20, wherein the sensors have a sampling frequency higher than a frequency of the predetermined period of time.

22. The system of claim 20, wherein the computing device is further adapted to receive an input signal indicative of the required state of the DE, and to control one or more system inputs to provide closed-loop feedback control of the DE based upon the feedback parameters.

23. The system of claim 20, wherein the computing device is adapted to perform regression analysis to estimate the coefficients.

24. The system of claim 20, wherein the feedback parameters comprise one or more of the capacitance, equivalent series resistance and/or leakage current of the DE.