Application of Simplex Method in Optimal Design of Fuzzy Controller

被引：0
|
作者：
Zhang, Yuanyuan [1 ]
Xu, Yaohua [1 ]
Wu, Yanling [1 ]
机构：
[1] Anhui Univ, Coll Elect Engn & Automat, Hefei 230601, Anhui, Peoples R China
来源：
2017 32ND YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC) | 2017年
关键词：
Fuzzy Controller; Fuzzy Control Rules; Simplex Method; Quantifying Factors; Scaling Factor; Integrating Factor;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Fuzzy control rules and parameters of traditional fuzzy controller are fixed, and fuzzy control system contains the steady state error. In view of these shortcomings, a new kind of fuzzy controller which has integral link is designed. The values of fuzzy control rule factor, quantifying factors, scaling factor and integrating factor based on ITAE optimal index are optimized by simplex method. In MATLAB Simulink environment, simulation model of fuzzy control system is established and optimization algorithm is programmed. The simulation results indicate that simplex method can still find rational values and fuzzy control system has good dynamic characteristic and static accuracy, even if there are great differences in the characteristics of the time-varying controlled object.
引用
收藏
页码：457 / 461
页数：5
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