Iterative Learning Control of Hysteresis in Piezoelectric Actuators

被引：12
|
作者：
Zhang, Guilin [1 ]
Zhang, Chengjin [2 ]
Wang, Chaoyang [3 ]
机构：
[1] Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao 266590, Peoples R China
[2] Shandong Univ Weihai, Sch Mech Elect & Informat Engn, Weihai 264209, Peoples R China
[3] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao 266590, Peoples R China
来源：
MATHEMATICAL PROBLEMS IN ENGINEERING | 2014年 / 2014卷
基金：
中国国家自然科学基金;
关键词：
PRANDTL-ISHLINSKII MODEL; TRACKING CONTROL; APPROXIMATE INVERSION; COMPENSATION;
D O I：
10.1155/2014/856706
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
We develop convergence criteria of an iterative learning control on the whole desired trajectory to obtain the hysteresis-compensating feedforward input in hysteretic systems. In the analysis, the Prandtl-Ishlinskii model is utilized to capture the nonlinear behavior in piezoelectric actuators. Finally, we apply the control algorithm to an experimental piezoelectric actuator and conclude that the tracking error is reduced to 0.15% of the total displacement, which is approximately the noise level of the sensor measurement.
引用
收藏
页数：6
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