Design of Fuzzy Logic Controller Based on Differential Evolution Algorithm

被引：0

作者：

Shuai, Li ^{[1
]}

Wei, Sun ^{[2
]}

机构：

[1] Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200072, Peoples R China

[2] China Univ Min & Technol, Coll Informat & Elect Engn, Xuzhou 221008, Peoples R China

来源：

COMPUTATIONAL INTELLIGENCE, NETWORKED SYSTEMS AND THEIR APPLICATIONS | 2014年 / 462卷

关键词：

Fuzzy Logic Control; Differential Evolution Algorithm; Optimization;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In order to overcome the deficiency of fuzzy control algorithm, an adaptive fuzzy logic controller is proposed. In this method, the differential evolution algorithm (DE) was employed to optimize parameters of fuzzy controller: quantitative factor and proportional factor, they were designed as individuals of DE population, and evaluated using the fitness function provided until the termination condition was fulfilled. Then the selected parameter values were sent back to fuzzy logic controller. Simulation results concerning two-tank system show that the DE optimized fuzzy controller has good adaptability, as well as it's effectiveness, which provides a new approach to improve fuzzy control system.

引用

页码：18 / 25

页数：8

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