引用本文:金　波,俞亚新.一种自适应CMAC神经元网络控制器及其在水轮机调速器中的应用[J].控制理论与应用,2002,19(6):905~908.[点击复制]
JIN Bo,YU Ya-xin.Adaptive CMAC controller for hydraulic turbine speed governor[J].Control Theory and Technology,2002,19(6):905~908.[点击复制]
一种自适应CMAC神经元网络控制器及其在水轮机调速器中的应用
Adaptive CMAC controller for hydraulic turbine speed governor
摘要点击 2047  全文点击 1484  投稿时间：2000-10-23  修订日期：2002-03-25
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DOI编号  
  2002,19(6):905-908
中文关键词  水轮机调速器  人工神经元网络  CMAC模型  自适应控制
英文关键词  hydraulic turbine speed governor  artificial neural network  CMAC model  adaptive control
基金项目  
作者单位E-mail
金　波 浙江大学 流体传动及控制国家重点实验室, 浙江 杭州 310027 bjin@sfp.zju.edu.cn  
俞亚新 浙江工程学院 机械系, 杭州 310033  
中文摘要
      提出了一种自适应CMAC神经元网络控制器的结构. 该控制器的核心是一个两维的存贮区间, 它采用一个参考模型和直接自适应律来获得在线训练信号, 而相应存贮单元的更新采用一阶学习律. 最后以水轮机调速器仿真实验系统来检验它的控制性能, 并与普通的PID控制器比较, 结果证明, 该控制器有较强的学习能力及较强的鲁棒性.
英文摘要
      An adaptive CMAC controller for hydraulic turbine governor is discussed. The adaptive CMAC controller has a two dimensional memory area, the horizontal memory location is selected by the speed of the hydraulic turbine and the vertical memory location is selected by the speed error between the turbine speed and the input signal. All of these two dimensions are linearly coded. The first order learning law and the conception of generalization is used to update the memories of the CMAC. A reference model and the direct adaptive law are employed to obtain the on-line training signal for CMAC. In order to check the control quality of the adaptive CMAC controller, a hydraulic turbine speed governor simulation experiment system is used and an ordinary PID controller is used to compare with it. The experimental results show that the adaptive CMAC controller works well and has ability to resistant the disturbance of the system parameter change.