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基于遗传优化和模糊推理PID及MATLAB仿真
引用本文:晓红,龚伟. 基于遗传优化和模糊推理PID及MATLAB仿真[J]. 微计算机信息, 2006, 0(34)
作者姓名:晓红  龚伟
作者单位:昭通师范高等专科学校计算机科学系,涪陵师范学院计算机科学系
摘    要:本文提出一种基于遗传优化和模糊推理相结合的自适应模糊PID控制算法,算法由遗传算法和模糊推理两部分构成,分别用于离线优化和在线优化。仿真结果表明,这种自适应PID控制器的性能,比仅用遗传算法优化的PID控制器更好,并且抗干扰能力更强。

关 键 词:PID  遗传算法  模糊推理

Gain PID Parameters Based on genetic Optimization and Fuzzy Inference
Zeng Xiaohong Gong Wei. Gain PID Parameters Based on genetic Optimization and Fuzzy Inference[J]. Control & Automation, 2006, 0(34)
Authors:Zeng Xiaohong Gong Wei
Affiliation:(Zhaotong Normal College,Yunnan 657000,China) Zeng Xiaohong (Fuling Normal University,Chongqing 408003,China) Gong Wei
Abstract:This paper proposes an adaptive fuzzy PID control algorithm based on genetic optimization and fuzzy inference. This algo- rithm includes two parts, genetic algorithm and fuzzy inference, which can be adopted in offline optimization and online optimization.. The simulation results shows this adaptive PID controller works better than that only with genetic optimization algorithm and has bet- ter anti- disturb ability.
Keywords:PID  genetic algorithm  fuzzy inference
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