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School of Mechanical Engineering
THE UNIVERSITY OF ADELAIDE
SA 5005
AUSTRALIA
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Publications

Adaptive identification of hysteresis and creep in piezoelectric stack actuators

Adaptive identification of hysteresis and creep in piezoelectric stack actuators

Jayesh Minase, Tien-Fu Lu, Ben S. Cazzolato (2007)

The 8th International Symposium for Measurement Technology and Intelligent Instruments (ISMTII), Sendai, Japan, September 25-27

Abstract:

The adaptive identification of the non-linear hysteresis and creep effects in piezoelectric actuator is proposed. Model uncertainties related to hysteresis and creep effects in piezoelectric actuators, most prominently in high frequency zone (above 50 Hz), can make the closed-loop control system unstable. Furthermore it may lead to inaccurate open-loop control frequently causing harmonic distortion when piezoelectric actuator is driven with sinusoidal input voltage signal. In order to solve the above issues, it is very important to determine an accurate non-linear dynamic model of the piezoelectric actuator. An Unscented Kalman Filter (UKF) based adaptive identification algorithm is presented to accurately determine the dynamic model of a piezoelectric stack type actuator such that the non-linear hysteresis and creep effects can be accurately predicted.

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