摘要
采用模糊动态模型 ,对连续时间的高阶非线性系统进行了模糊控制 .通过模糊推理 ,选择起主导作用的局部子系统的状态反馈控制 ,并作用于整个系统 .利用大系统分散控制关联稳定性的概念和方法 ,得到了闭环模糊系统稳定的充分条件 ,并在此基础上给出了对模糊控制器进行优化设计的一种遗传算法实现策略 .同时 ,仿真例子也验证了该设计方法的正确性 .
An adaptive fuzzy controller is developed for continuous time nonlinear systems with high order by using fuzzy dynamic model. The control law for the overall system is based on selection of the state feedback control law of the dominant local linear model through fuzzy inference . A sufficient condition for stability of the closed loop fuzzy system is derived from the concept of connective stability in decentralized control of large scale systems. Under this condition,an optimal fuzzy controller is designed by using genetic algorithms. The validity of the design method is proved by a simulation example.
出处
《西安交通大学学报》
EI
CAS
CSCD
北大核心
2000年第8期70-74,共5页
Journal of Xi'an Jiaotong University
关键词
自适应控制
遗传算法
模糊控制器
优化设计
fuzzy dynamic model
adaptive control
stability
genetic algorithm
