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超声波电机改进非因果迭代学习转速控制 被引量:1

Improved Noncausal Iterative Learning Speed Control of Ultrasonic Motor
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摘要 超声波电机的时变非线性运行特征,使其不易得到期望的运动控制性能。本文将一种含状态反馈的非因果迭代学习控制器应用于超声波电机转速控制,并针对转速接近给定值时持续下降的问题,尝试将状态反馈替换为转速反馈、误差反馈。实验结果表明,采用当前转速或误差代替状态变量来构成实时反馈,能够消除转速持续下降的现象,保证了学习过程的渐进收敛,转速的动态响应性能在迭代学习过程中逐渐趋好,并对负载间歇跳变等外加非重复扰动具有适应能力。 The ultrasonic motor presents time-varying nonlinear operating characteristics,which makes it difficult to obtain desired motion control performance.In this paper,a noncausal iterative learning controller with state feedback was applied to the speed control of ultrasonic motor.Aiming at the problem of continuous decrease when the speed is close to a given value,the state feedback was replaced by speed feedback or error feedback.The experimental results indicate that the continuous decline of speed can be eliminated by using the current speed or error instead of the state variable to form real-time feedback,the asymptotic convergence of learning process is guaranteed,the dynamic response performance of speed are gradually improved during the iterative learning process,and it has the ability to adapt to external non-repeated disturbances such as load intermittent jump.
作者 黄文文 宋璐 史敬灼 HUANG Wenwen;SONG Lu;SHI Jingzhuo(Henan University of Science and Technology,Luoyang Henan 471023,China)
出处 《微电机》 北大核心 2020年第8期81-84,共4页 Micromotors
关键词 超声波电机 迭代学习控制 实时反馈 状态变量 ultrasonic motor iterative learning control real-time feedback state variable
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  • 1许建新,侯忠生.学习控制的现状与展望[J].自动化学报,2005,31(6):943-955. 被引量:75
  • 2Ioannou P A, Sun J. Robust Adaptive Control. London: Prentice Hall, 1996 被引量:1
  • 3Fukuda M, Shin S. Model reference learning control with a wavelet network. Chapter 11, in Iterative Learning Control - Analysis, Design, Integration and Applications, edited by Bien Z. and Xu J-X, Boston: Kluwer Academic Press, 1998 被引量:1
  • 4Xu J-X, Tan Y. Learning wavelet control using constructive wavelet networks. Chapter 9, in Linear and Nonlinear Iterative Learning Control, Berlin: Springer Verlag, 2003 被引量:1
  • 5Sun M X, Huang B J. Iterative Learning Control. Beijing: Defence Industry Press, 1999 被引量:1
  • 6Xu J-X, Tan Y. Linear and Nonlinear Iterative Learning Control. In series of Lecture Notes in Control and Information Sciences 291, Berlin: Springer Verlag, 2003 被引量:1
  • 7Bien Z, Hui K M. High-order iterative learning control algorithm. IEE Proceedings, Part D, Control Theory and Applications, 136(3): 105-112 被引量:1
  • 8Xu J-X, Tan Y. Robust optimal design and convergence properties analysis of iterative learning control approaches. Automatica, 2002, 38(11): 1687-1880 被引量:1
  • 9Gotou M, Matsubayashi S, Miyazaki F, Kawamura S,Arimoto S. A robust servo system with an iterative learning compensator and a proposal of multi-period learning compensator. System and Control Magazine,1987, 31(5): 367-374 被引量:1
  • 10Roover D. Synthesis of a robust iterative learning control system using an H∞ approach. In: Proceeding of 35th IEEE Conference on Decision and Control, Kobe, 1996. 3044-3049 被引量:1

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