仿人智能控制器参数的模糊在线整定  

On-Line Parameter Setting Method Based on Fuzzy Control Theory for Human-Simulated Intelligent Controller

作　　者：张翠英[1] 田建艳[2] 

机构地区：[1]太原科技大学化学与生物工程学院,山西太原030021 [2]太原理工大学信息工程学院,山西太原030024

出　　处：《中北大学学报（自然科学版）》2010年第5期477-480,共4页Journal of North University of China(Natural Science Edition)

基　　金：山西省自然科学基金资助项目(2006011033)

摘　　要：为了解决仿人智能控制器参数难以整定,参数校正级通用性差的问题,提出了比例参数模糊在线整定的方法.根据模糊控制理论,将控制系统动态响应过程的偏差及偏差变化率进行模糊化处理,利用偏差及偏差变化率较小、较大等模糊信息,对参数校正级比例参数进行实时调节,实现了参数的在线整定.对一个二阶纯滞后系统进行了仿真实验,结果表明:该方法可以实现二阶系统在欠阻尼的情况下无超调地跟踪阶跃输入信号.In order to overcome the difficulty of parameter setting and the bad versatility of the parameter adjustment level in the human-simulated intelligent controller, a means of fuzzily setting proportional parameters on line was presented. According to fuzzy control theory, system error and its changing rate during the dynamic response process were treated fuzzily. By utilizing the fuzzy information, the proportional parameters were modified on line. The MATLAB was used for simulation test on a second-order system with pure time delay. The results show that the second owed damping system can track step input signals without overshoot by this means.

关 键 词：仿人智能控制 模糊控制理论 参数整定 

分 类 号：TP273.3[自动化与计算机技术—检测技术与自动化装置]