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Compensation of hysteresis in piezoelectric actuator with iterative learning control 被引量：2

Compensation of hysteresis in piezoelectric actuator with iterative learning control
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摘要 This paper presents the application of iterative learning control (ILC) to compensate hysteresis in a piezoelectric actuator. The proposed controller is a hybrid of proportional-integral-differential (PID) control, whose main function is for trajectory tracking, and a chatter-based ILC, whose main function is for hysteresis compensation. Stability analysis of the proposed ILC is presented, with the PID included in the dynamic of the piezoelectric actuator. The performance of the proposed controller is analysed through simulation and verified with experiment with a piezoelectric actuator. This paper presents the application of iterative learning control (ILC) to compensate hysteresis in a piezoelectric actuator. The proposed controller is a hybrid of proportional-integral-differential (PID) control, whose main function is for trajectory tracking, and a chatter-based ILC, whose main function is for hysteresis compensation. Stability analysis of the proposed ILC is presented, with the PID included in the dynamic of the piezoelectric actuator. The performance of the proposed controller is analysed through simulation and verified with experiment with a piezoelectric actuator.
作者 Kok Kiong TAN Andi Sudjana PUTRA Tong Heng LEE
机构地区 Department of Electrical and Computer Engineering Graduate School for Integrative Sciences and Engineering
出处 《控制理论与应用（英文版）》 EI 2010年第2期176-180,共5页
关键词 Iterative learning control HYSTERESIS Piezoelectric actuator Stability analysis Iterative learning control Hysteresis Piezoelectric actuator Stability analysis
分类号 TP13 [自动化与计算机技术—控制理论与控制工程]
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参考文献12

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同被引文献14

  • 1刘向东,修春波,李黎,刘承.迟滞非线性系统的神经网络建模[J].压电与声光,2007,29(1):106-108. 被引量：15
  • 2王小平,曹立明.遗传算法理论、应用与软件实现[M].西安:西安交通大学出版社,2004:1-10.
  • 3Tian M. Adaptive Control of Systems with Non Smooth Nonlinearities[D]. Charlattesville, Virginia : University of Virginia, 1997 : 113-123.
  • 4Fan Bin. Nonlinearities Modeling of Smart Materials and Structure[D]. Houston:University of Houston, 2010:21-22.
  • 5Fu J. On the Adaptive Controls of Non Linear Sys- tems with Different Hysteresis Model Representa- tion[D]. Montreal: Coneordia University, 2009 : 104- 124.
  • 6Ge Ping, Jouaneht M. Generalized Preisaeh Model for Hysteresis Non Linearity of Piezoceramic Actu- ators[J]. Precision Engineering, 1997, 20 (2): 99- 110.
  • 7Reynolds J J. An Investigation of Model Reference Adaptive Control of Unknown Dynamic Hysteretic Systems Using Slow Adaptation[D]. East Lansing, Michigan : Michigan State University, 2007 : 1-5.
  • 8郑军红,叶修梓,陈志杨.基于神经网络和遗传算法的智能夹具规划[J].中国机械工程,2008,19(19):2376-2381. 被引量：12
  • 9张泾周,杨伟静,张安祥.模糊自适应PID控制的研究及应用仿真[J].计算机仿真,2009,26(9):132-135. 被引量：120
  • 10刘慧芳,贾振元,王福吉.基于神经网络的超磁致伸缩传感执行器磁滞模型[J].中国机械工程,2011,22(5):571-575. 被引量：6

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控制理论与应用（英文版）
2010年 第2期

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