具智能积分器的模糊控制方案  

Improvement Methods of Fuzzy Control with Intelligent Integration

作　　者：杨世勇[1] 刘文才[2] 

机构地区：[1]烟台大学计算机学院,山东烟台264635 [2]重庆大学自动化学院,重庆400044

出　　处：《重庆大学学报（自然科学版）》2002年第4期65-67,共3页Journal of Chongqing University

摘　　要：模糊控制器不依赖于对象的数学模型 ,对于复杂对象也能得到令人满意的动态性能。它的主要缺陷是存在稳态误差 ,且工作点附近容易产生极限环振荡 ,这就限制了它的应用范围。如何消除模糊控制器的稳态误差 ,同时又能保持其自身的优点 ,一直是人们关注的热点问题。为此提出在模糊控制系统中引入智能积分环节的策略。在阐述了模糊控制系统中引入积分环节解决两个关键问题的基础上 ,提出了两种引入智能积分器的方案 ,并对两种方案的特点和应用场合进行了总结。Fuzzy controller can achieve satisfactory dynamic performance even for complicated process without mathematical model of the process.Its main imperfection is the existence of steady state error and ultimate oscillatory in the process output. This limits its application area. How to eliminate the steady state error while keep its good dynamic performance has been paid much attention. The strategy to introduce integral function to the conventional fuzzy control system is put forward in this paper to overcome the above problem. After expound two key factors on introducing integral action,an intelligent integral algorithm has been employed,and two methods on introduction of the intelligent integral to the fuzzy control system are proposed. Their characteristics and applied situations are summarized.

关 键 词：模糊控制 智能积分 控制性能 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]