CMAC与大林的复合控制在纯滞后系统中的应用

摘要

一般工业控制中都会存在纯滞后现象,针对于纯滞后性质对控制系统稳定性的影响,采用在大林算法的基础上加入CMAC（小脑神经网络）的方法,CMAC用于前馈控制,对大林控制器的输出进行学习,从而提高系统的响应速度,克服大林算法调节时间长的缺点。文中给出了在MATLAB中编写的M文本文件控制器的仿真结果,进而将控制算法编写成函数文件,运用到SIMULINK仿真中,大大的提高了控制算法的实用性。%General industrial control exists time delay,it influences the stability of the control system,adopting Dahlin and CMAC(Cerebella Model Articulation Controller)composite control can solve this problem,CMAC used for feed forward control to learn output of the Dahlin controller,thereby it improves the response speed of the system,and overcomes the disadvantages of long adjusting time of Dahlin algorithm.The results of M text file controller in MATLAB for simulation is presented,and then writing the algorithm into function used in SIMULINK simulation.It greatly improves the practicability of the control algorithm.