基于模糊理论的PID控制器设计方法及仿真研究

作者：王军伟,金燕 日期：2008-12-26/span> 浏览：3550 查看PDF文档

基于模糊理论的PID控制器设计方法及仿真研究

王军伟,金燕
（浙江工业大学 信息工程学院，浙江 杭州 310014）

摘要：针对工业过程控制中传统PID控制器的不足，介绍了模糊PID控制器的设计方法，将模糊PID算法应用于汽轮机功频电液调节系统中，并将模糊PID算法与传统PID算法进行了比较。仿真研究表明，模糊PID算法比传统PID算法有更好的调节性能，模糊PID算法在保证系统快速响应的同时可以大大减小系统的超调量，可以很好地解决因机组甩负荷造成转速飞升并导致意外停机的问题。
关键词：比例积分微分控制器；模糊理论;电液转换
中图分类号：TP273文献标识码：A文章编号：1001-4551(2008)11-0038-03

Design method and simulation research of PID controller based on fuzzy theory
 WANG Jun-wei, JIN Yan
(College of Information Engineering, Zhejiang University of Technology, Hangzhou 310014, China)
Abstract: In order to improve the shortage of the PID controller applied in industrial process control, the design method of PID controller based on the fuzzy theory was introduced and the method was applied to power frequency governing system for turbine, compared the fuzzy PID with the traditional PID. The results of simulation shows that fuzzy PID preferred a good performance to traditional PID, could greatly reduce the overshoot at the same time to ensure rapid response of the system, and solved the overspeed problem for load rejection.
Key words: propotronal-integral differential(PID) controller; fuzzy theory; I/H converter
参考文献(References):
［1］STUART B. The past of PID controllers［J］. Annual Reviews in Control,2001,25(11):43-53.
［2］刘金琨.先进PID控制Matlab仿真：第2版［M］.北京：电子工业出版社,2003.
［3］ASTROM K J, HAGGLUND T. The future of PID control［J］. Control Engineering Practice,2001,9(11):1163-1175.
［4］LI Yun, KIAM H A, GREGORY C C. PID control system analysis and design［J］. IEEE Control Systems Magazine,2006(2):1032-1041.
［5］王伟,张晶涛,柴天佑.PID参数先进整定方法综述［J］.自动化学报,2000,26(3):1-5.
［6］杨智,朱海峰,黄以华.PID控制器设计与参数整定方法综述［J］.化工自动化仪表,2005,32(5):1-7.
［7］YESIL E, GUZELKAYA M, EKSIN I. Self tuning fuzzy PID type load and frequency controller［J］. Energy Conversion and Management,2004,45(3):377-390.
［8］蔡自兴.智能控制原理与应用［M］.北京：清华大学出版社,2007.
［9］LEONID R, GHANAYEMB O, BOURMISTROVC A. PID plus fuzzy controller structures as a design base for industrial applications［J］. Engineering Applications of Articial Intelligence,2000,13(7):419-430.
［10］葛宝明,林飞,李国国.先进控制理论及其应用［M］.北京：机械工业出版社,2007.
［11］赵瞻，郭淑娟.基于电液比例位置系统的模糊自整定PID控制器［J］.机电工程，2006，23（11）：59-62.