摘要
介绍了CMAC网络的控制原理,给出了CMAC网络与PID复合控制的控制器设计步骤,并将该方法应用到某电液位置伺服系统中。仿真结果表明,该方法能获得良好的跟踪性能,具有一定的鲁棒性,对于抑制并消除系统的不确定性具有良好的控制效果。
This paper introduces the control theory of CMAC neural network, gives out the steps of designing controller combined CMAC neural network and PID control and applies this method to the electrohydraulic position servo systems. Simulation results show that a good tracking performance can be obtained, a strong robustness can be ensured and a better control effect could be obtained on suppressing and eliminating the uncertainties of the system by using the presented control strategy.
出处
《微型机与应用》
2010年第7期37-39,42,共4页
Microcomputer & Its Applications
基金
江苏省高校自然科学基础研究项目(07KJD510038)
关键词
不确定性
CMAC网络
电液位置伺服系统
鲁棒性
uncertainty
CMAC neural network
electrohydraulie position servo systems
robustness
