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基于输入输出回归神经网络的超声马达辨识和速度控制
引用本文:徐旭,梁艳春,时小虎,刘淑芬.基于输入输出回归神经网络的超声马达辨识和速度控制[J].自动化学报,2003,29(4):509-515.
作者姓名:徐旭  梁艳春  时小虎  刘淑芬
作者单位:1.吉林大学数学学院,长春;
基金项目:NationalNaturalScienceFoundation (19872 0 2 7),MinistryofScienceandTechnologyofP .R .China
摘    要:建立了一个新的输入-输出反馈神经网络结构用于超声马达速度辨识.给出了以驱动电 压的幅值和驱动频率为控制量的双模式速度控制器,推导了辨识器和控制器的动态递归反传算 法.数值模拟结果表明,辨识器能比较精确地描述马达的输入-输出关系,双模式神经网络控制器 对多种形式的参考速度,都有很好的控制效果.

关 键 词:超声马达    神经网络    双模式控制器
收稿时间:2002-6-24

Identification and Bimodal Speed Control of Ultrasonic Motors Using Input-Output Recurrent Neural Networks
XU Xu,LIANG Yan-chun,SHI Xiao-Hu,LIU Shu-Fen.Identification and Bimodal Speed Control of Ultrasonic Motors Using Input-Output Recurrent Neural Networks[J].Acta Automatica Sinica,2003,29(4):509-515.
Authors:XU Xu  LIANG Yan-chun  SHI Xiao-Hu  LIU Shu-Fen
Affiliation:1.College of Mathematics Science,Jilin University,Changchun;College of Computer Science and Technology,Jilin University,Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education,Changchun
Abstract:A newly developed input output recurrent neural network (IORNN) identifier of USM is constructed. A bimodal neural network controller is designed where both the driving frequency and amplitude of the applied voltage are used as control inputs. The dynamic recurrent back propagation algorithm of the identifier and controller are developed. Numerical results show that the proposed IORNN identifier can approximate the nonlinear input output mappings of the ultrasonic motor quite well. Good effectiveness of the proposed bimodal IORNN controller is also obtained for some different kinds of reference speeds.
Keywords:Ultrasonic motors  neural network  bimodal controller
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