五机架冷连轧 AGC 模糊小脑模型学习控制

Fuzzy CMAC Learning Control of Five Stand Tandem AGC System

首次提出模糊小脑模型（ＦｕｚｚｙＣＭＡＣ），将模糊概念引入到小脑模型（ＣＭＡＣ）中，给出其算法，并采用它实现了冷连轧ＡＧＣ系统模糊小脑模型学习控制．该控制方法具有快速学习功能，适合实时控制使用．以某厂五机架冷连轧机为研究对象，在３８６／ＤＸ计算机上完成了稳态过程仿真研究．仿真结果表明，所提方法是有效的，比经典ＰＩＤ控制效果优越，具有良好的鲁棒性，可用于工业控制．

Fuzzy CMAC is proposed.Fuzzy concept is introduced into CMAC to produce Fuzzy CMAC and the Fuzzy CMAC algorithm is also presented.Furthermore,such Fuzzy CMAC is appliedd to five stand tandem AGC.This control method has fast learning ability,and it is proper to deal with real time control problem.In this paper,a five stand tandem is controlled,and its steady process simulation study is carried out in 386/DX computer.The simulaton results show that the proposed control method is effective.The method is better than traditional PID control method,and it posseses good robustness and can be used for industrial control.