基于遗传算法的自寻优模糊控制器的研究与应用  

Research and Application of Self-optimum and Fuzzy Controller Based on Genetic Algorithm

作　　者：吕志来[1] 张保会[1] 哈恒旭[1] 

机构地区：[1]西安交通大学电气工程学院,陕西西安710049

出　　处：《煤矿自动化》2001年第2期3-5,共3页Coal Mine Automation

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。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.

关 键 词：模糊控制器 遗传算法 自动寻优 交流电动机 矿山电力传动系统 

分 类 号：TD61[矿业工程—矿山机电]