东北大学学报(自然科学版) ›› 2004, Vol. 25 ›› Issue (6): 519-522.DOI: -

• 论著 • 上一篇    下一篇

基于遗传算法的降阶H_∞控制器

潘伟;井元伟   

  1. 东北大学信息科学与工程学院;东北大学信息科学与工程学院 辽宁沈阳 110004
  • 收稿日期:2013-06-24 修回日期:2013-06-24 出版日期:2004-06-15 发布日期:2013-06-24
  • 通讯作者: Pan, W.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(69974007);;

Reduced-order H controllers based on genetic algorithm

Pan, Wei (1); Jing, Yuan-Wei (1)   

  1. (1) Sch. of Info. Sci. and Eng., Northeastern Univ., Shenyang 110004, China
  • Received:2013-06-24 Revised:2013-06-24 Online:2004-06-15 Published:2013-06-24
  • Contact: Pan, W.
  • About author:-
  • Supported by:
    -

摘要: 考虑一类线性时不变连续动态系统,应用遗传算法给出其降阶H∞控制器的设计方法·用线性矩阵不等式给出控制器存在的充要条件,把秩约束作为遗传算法的目标函数,通过对目标函数的全局搜索,得到控制器的最小阶次nk及相应的正定矩阵参数(X,Y),进而设计出降阶H∞控制器·遗传算法采用实数编码,排序选择和最佳个体保存相结合的选择算子,实值中间重组的交叉算子,实值变异的变异算子·仿真结果表明,所提出方法可达到与MATLAB设计的全阶H∞控制器的相同控制效果,且具有阶次低、易于工程实现的特点·

关键词: 遗传算法(GA), 线性矩阵不等式(LMI), 降阶H∞控制器, 全阶H∞控制器, 实值编码

Abstract: An approach to designing reduced-order H controller for a class of linear continuous dynamic systems is presented based on genetic algorithm. Necessary and sufficient conditions for existence of the controller are given by means of linear matrix inequality. Taking the rank restriction condition as an object function of genetic algorithm, the minimum order nk of the controller and the relevant paired parameter (X,V) of positive definite matrix are obtained by searching the object function globally. Then, the reduced-order H controllers are designed. The genetic algorithm's code is float, the selection operator is rank-based fitness assignment and elitist model, the crossover operator is real valued recombination and the mutation operator is real mutation. The simulation results show that the proposed controller has the same control effect as all-order H controllers based on MATLAB.

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