Loading [MathJax]/extensions/MathMenu.js
A Self-Sensing Approach for Dielectric Elastomer Actuators Based on Online Estimation Algorithms | IEEE Journals & Magazine | IEEE Xplore

A Self-Sensing Approach for Dielectric Elastomer Actuators Based on Online Estimation Algorithms


Abstract:

This paper develops a position self-sensing approach for a motion actuator based on a dielectric elastomer membrane. The proposed method uses voltage and current measurem...Show More

Abstract:

This paper develops a position self-sensing approach for a motion actuator based on a dielectric elastomer membrane. The proposed method uses voltage and current measurements to estimate the electrical resistance and capacitance online by means of a high-frequency low-amplitude voltage component injected in the actuation signal. The actual deformation is subsequently reconstructed using a model-based estimate of the electrical parameters implemented on a field programmable gate array platform (FPGA) with a sampling frequency of 20 kHz. The main peculiarity of the approach is the use of recursive identification and filtering algorithms that avoid the need of charge measurements. The self-sensing algorithm is extensively validated on a precision linear-motion actuator, which uses a nonlinear biasing system to obtain large actuation strokes.
Published in: IEEE/ASME Transactions on Mechatronics ( Volume: 22, Issue: 2, April 2017)
Page(s): 728 - 738
Date of Publication: 12 December 2016

ISSN Information:

Funding Agency:


References

References is not available for this document.