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基于RBFNN的非线性多变量大时滞系统的PID控制
引用本文:孟国庆,周建芳.基于RBFNN的非线性多变量大时滞系统的PID控制[J].工业仪表与自动化装置,2009(1):7-10.
作者姓名:孟国庆  周建芳
作者单位:奇瑞汽车有限公司,安徽,芜湖,241009
摘    要:针对非线性多变量大时滞系统,研究了一种基于神经网络的智能控制策略。该文给出了网络的结构和算法,对一组二变量强耦合时变系统进行了仿真。仿真结果表明,控制器能根据系统的运行状态获得对应于某种最优控制律下的PID参数,解耦后的系统具有较好的动态和静态性能。该方法具有控制精度高、响应速度快的优点,并具有较强的自适应性和鲁棒性。

关 键 词:RBF神经网络  预测控制  非线性时变系统  PID控制

A non-linear multivariable big delay system designed with PID control based on RBFNN
MENG Gouqing,ZHOU Jianfang.A non-linear multivariable big delay system designed with PID control based on RBFNN[J].Industrial Instrumentation & Automation,2009(1):7-10.
Authors:MENG Gouqing  ZHOU Jianfang
Affiliation:MENG Gouqing,ZHOU Jianfang(Chery Automotive Co.Ltd,Anhui Wuhu 241009,China)
Abstract:In view of the characteristic of a non-linear multivariable time-varying system,the paper makes a study of an intelligent control strategy based on a neural network including its structure and relevant algorithm.The paper also shows the result from the real-time sumulation of a double variable and strong-coupled time-varying system.The PID controller can get access to the optimal control parameters according to the system operation state.The decoupling control system has better dynamic and static performanc...
Keywords:RBF neural network  prediction control  non-linear time-varying system  PID control  
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