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基于MATLAB遗传算法工具箱的PID参数优化研究
引用本文:陈亚娟.基于MATLAB遗传算法工具箱的PID参数优化研究[J].科技信息,2008(26).
作者姓名:陈亚娟
作者单位:淮阴工学院电子信息工程系
摘    要:遗传算法是一类可用于复杂系统优化的具有鲁棒性的搜索算法,遗传算法工具箱(GAOT)为遗传算法的推广和应用提供了良好的工具。针对传统PID的局限性,利用遗传算法工具箱对PID控制器参数进行优化。仿真结果表明:该方法几乎无超调,且过渡时间短,可获得比传统设计方法更优良的控制效果。

关 键 词:遗传算法工具箱  PID  参数优化  MATLAB

Study on PID Parameter Optimization Based on GA Toolbox of MATLAB
CHEN Ya-juan.Study on PID Parameter Optimization Based on GA Toolbox of MATLAB[J].Science,2008(26).
Authors:CHEN Ya-juan
Institution:CHEN Ya-juan (Department of Electronic Information Technology; Huaiyin Institute of Technology; Huaian Jiangsu 223003; China);
Abstract:Genetic algorithm is the search algorithm with robustness. It Can be used for optimization of complex systems. Genetic algorithm optimization toolbox (GAOT) provides a good tool for the popularization and application of genetic algorithm. In view of the limitation of conventional methods,a method for PID optimization using GAOT is researched in this paper. The simulation result shows that the system using the method based on GAOT is of no overshoot. As well,the settle time are shorter. The better control effect than the traditional design methods was get by this method.
Keywords:genetic algorithm optimization toolbox  PID  parameter optimization  MATLAB
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