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https://hdl.handle.net/2440/57207
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Type: | Journal article |
Title: | Adaptive identification of hysteresis and creep in piezoelectric stack actuators |
Author: | Minase, J. Lu, T. Cazzolato, B. Grainger, S. |
Citation: | International Journal of Advanced Manufacturing Technology, 2010; 46(9-12):913-921 |
Publisher: | Springer London Ltd |
Issue Date: | 2010 |
ISSN: | 0268-3768 1433-3015 |
Statement of Responsibility: | J. Minase, T.-F. Lu, B. Cazzolato and S. Grainger |
Abstract: | The adaptive identification of the non-linear hysteresis and creep effects in a piezoelectric actuator is proposed in this paper. Model uncertainties related to the hysteresis and creep effects, most prominently in the high frequency zone (to 100 Hz), large operating amplitude and/long operating time, can make a piezoelectric actuator-driven micro-positioning system unstable in the closed loop. Furthermore, these uncertainties may lead to inaccurate open-loop control and frequently cause harmonic distortion when a piezoelectric actuator is driven with a sinusoidal input voltage signal. In order to solve the above issues, it is important to determine an accurate non-linear dynamic model of a piezoelectric actuator. An unscented Kalman filter-based adaptive identification algorithm is presented, which accurately determines the non-linear dynamics of a piezoelectric stack type actuator such that the non-linear hysteresis and creep effects can be accurately predicted. Since hysteresis and creep are dominant in open loop, the actuator is driven in an open-loop mode in this investigation. |
Keywords: | Piezoelectric stack actuator Hysteresis Creep Unscented Kalman Filter Model identification |
Description: | © Springer-Verlag London Limited 2009 |
DOI: | 10.1007/s00170-009-2033-8 |
Published version: | http://dx.doi.org/10.1007/s00170-009-2033-8 |
Appears in Collections: | Aurora harvest Environment Institute publications Mechanical Engineering publications |
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