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基于遗传算法的水轮机智能PID调速器研究
引用本文:南海鹏,罗兴铸,余向阳. 基于遗传算法的水轮机智能PID调速器研究[J]. 水力发电学报, 2004, 23(1): 107-112
作者姓名:南海鹏  罗兴铸  余向阳
作者单位:西安理工大学,西安,710048;西安理工大学,西安,710048;西安理工大学,西安,710048
摘    要:本文针对水轮机常规PID调速器中不能根据系统的动态过程自动调整控制参数的缺点 ,提出一种新的基于遗传算法的模糊自适应PID控制算法 ,该方法采用遗传算法优化模糊推理的模糊规则 ,并通过模糊推理求解PID参数的变化量。经过仿真表明 ,该控制算法具有良好的静态和动态性能 ,并且具有很强的鲁棒性

关 键 词:调速器  自适应 PID  遗传算法  模糊推理
修稿时间:2002-12-26

A study of intelligent PID hydraulic turbine governorbased on genetic algorithms
NAN Haipeng,LUO Xingqi,YU Xiangyang. A study of intelligent PID hydraulic turbine governorbased on genetic algorithms[J]. Journal of Hydroelectric Engineering, 2004, 23(1): 107-112
Authors:NAN Haipeng  LUO Xingqi  YU Xiangyang
Abstract:In order to overcome the shortcoming of the conventional hydraulic turbine PID governor,a new self tuning PID control method based on the improved genetic and fuzzy reasoning is proposed.The improved genetic algorithms used to optimize the fuzzy reasoning rules,and the fuzzy reasoning system used to calculate the varing value of PID parameters,are introdaced in to this new method.The simulation resluts shows that the new control method has given excellent static and dynamic performance.In addition,it has a strong robust performance.
Keywords:governor  self tuning PID  genetic algorithms  fuzzy reasoning
本文献已被 CNKI 维普 万方数据 等数据库收录!
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