DocumentCode :
441976
Title :
Adaptive inverse control for piezoelectric actuator based on hysteresis model
Author :
Ru, Chang-Hai ; Sun, Li-Ning ; Kong, Min-Xiu
Author_Institution :
Robotics Inst., Harbin Inst. of Technol., China
Volume :
5
fYear :
2005
fDate :
18-21 Aug. 2005
Firstpage :
3189
Abstract :
A major deficiency of piezoelectric actuators is that their open-loop control accuracy is seriously limited by hysteresis. In this paper, a novel mathematical model is proposed to describe hysteresis precisely. Based on the hysteresis model, an adaptive inverse control approach is presented for reducing hysteresis. The weights of the main hysteresis loop are identified by using LMS algorithm. The realization of an inverse feedforward controller for the linearization of a piezoelectric actuator is formulated. Experiments were performed on a micro-positioning system driven by piezoelectric actuators. The experimental results demonstrate that the positioning precision is noticeably improved in open-loop operation compared to the conventional open-loop control without any compensation.
Keywords :
adaptive control; feedforward; hysteresis; least mean squares methods; machine control; micropositioning; piezoelectric actuators; adaptive inverse control; hysteresis loop model; hysteresis reduction; inverse feedforward controller; least mean square algorithm; mathematical model; micropositioning system; open loop control operation; piezoelectric actuator linearization; Adaptive control; Hysteresis; Inverse problems; Least squares approximation; Mathematical model; Open loop systems; Piezoelectric actuators; Programmable control; Sun; Voltage; Hysteresis; LMS; adaptive inverse; piezoelectric actuator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
Type :
conf
DOI :
10.1109/ICMLC.2005.1527492
Filename :
1527492
Link To Document :
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