Particle Swarm Optimization for the Design of H∞ Static Output Feedbacks

作     者：Mohamed Yagoubi Guillaume Sandou 

作者机构：IRCCyN UMR CNRS 6597 （Institut de Recherche en Communications et CybernJtique de Nantes） EMN （Ecole des Mines deNantes） LUNAM Universitd Nantes 44307 France Automatic Control Department SUPELEC Systems Sciences （E3S） Gif-sur-Yvette 91192 France 

出 版 物：《Journal of Mechanics Engineering and Automation》 (机械工程与自动化（英文版）)

年 卷 期：2012年第2卷第4期

页      码：221-228页

摘      要：The design of H∞ reduced order controllers is known to be a non-convex optimization problem for which no generic solution exists. In this paper, the use of Particle Swarm Optimization （PSO） for the computation of H~ static output feedbacks is investigated. Two approaches are tested. In a first part, a probabilistic-type PSO algorithm is defined for the computation of discrete sets of stabilizing static output feedback controllers. This method relies on a technique for random sample generation in a given domain. It is therefore used for computing a suboptimal Ha static output feedback solution, In a second part, the initial optimization problem is solved by PSO, the decision variables being the feedback gains. Results are compared with standard reduced order problem solvers using the COMPIeib （Constraint Matrix-optimization Problem Library） benchmark examples and appear to be much than satisfactory, proving the great potential of PSO techniques.

主 题 词：Reduced order controllers particle swarm optimization Static output feedback H∞ synthesis. 

学科分类：0711[理学-心理学类] 12[管理学] 1201[管理学-管理科学与工程类] 07[理学] 081104[081104] 08[工学] 0835[0835] 081101[081101] 0811[工学-水利类] 071102[071102] 081103[081103] 0812[工学-测绘类] 

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