The Optimizing of Fuzzy Control Rule Based on Particle Swarm Optimization Algorithms

Sun Wei, Mingming Liu, Yongbao Song
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引用次数: 4

Abstract

The selection of fuzzy control rule is one of the keys in fuzzy controller’s design. The article introduces particle swarm optimization (PSO) algorithms optimizing fuzzy control rule in details, and applies the optimized rule to design fuzzy controller. The result of simulation shows that applying PSO to optimize fuzzy control rule is feasible and effective. It enlarges the application scope of PSO algorithms and provides a new way to design fuzzy controller.
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基于粒子群优化算法的模糊控制规则优化
模糊控制规则的选择是模糊控制器设计的关键之一。本文详细介绍了粒子群算法优化模糊控制规则,并将优化规则应用于模糊控制器的设计。仿真结果表明,将粒子群算法应用于模糊控制规则优化是可行和有效的。扩大了粒子群算法的应用范围,为模糊控制器的设计提供了一种新的思路。
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