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基于遗传算法的自寻优模糊控制器的研究与应用
引用本文:吕志来,张保会,哈恒旭. 基于遗传算法的自寻优模糊控制器的研究与应用[J]. 工矿自动化, 2001, 0(2): 3-5
作者姓名:吕志来  张保会  哈恒旭
作者单位:西安交通大学电气工程学院,
摘    要:针对矿山电力传动系统的特点和要求 ,根据遗传算法和模糊控制理论 ,研究和设计了一种基于遗传算法的自寻优模糊控制器。仿真研究和实时控制结果表明 ,该控制器设计的调速系统具有响应速度快、空载和负载情况下无静差、无超调、鲁棒性强等特点 ,且结构简单 ,易于实现实时控制。

关 键 词:电力传动  模糊控制器  遗传算法  自动寻优  研究  应用
文章编号:1001-439X(2001)02-0003-03
修稿时间:2000-10-21

Research and Application of Self-optimum and Fuzzy Controller Based on Genetic Algorithm
LU Zhi-lai,ZHANG Bao-hui,HA Heng-xu. Research and Application of Self-optimum and Fuzzy Controller Based on Genetic Algorithm[J]. Industry and Automation, 2001, 0(2): 3-5
Authors:LU Zhi-lai  ZHANG Bao-hui  HA Heng-xu
Abstract:After analyzing characteristics and demands of electric driving system in mines, a kind of self optimum and fuzzy controller based on genetic algorithm and fuzzy control theory is presented. The simulation and real time control results show that regulating system designed with the controller has provided with advantages of the fast response speed, no differential static, non overshoot and strong in robustness. It is an effective control algorithm combined genetic algorithm.
Keywords:electric drive   fuzzy controller   genetic algorithm   self optimization   research   application
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