Optimisation of the weighting functions of an H∞ controller using genetic algorithms and structured genetic algorithms

被引：15

作者：

Alfaro-Cid, E. ^{[1
]}

McGookin, E. W. ^{[2
]}

Murray-Smith, D. J. ^{[3
]}

机构：

[1] Inst Tecnol Informat, Complex Adapt Syst Grp, Valencia, Spain

[2] Univ Glasgow, Dept Aerosp Engn, Glasgow G12 8QQ, Lanark, Scotland

[3] Univ Glasgow, Dept Elect & Elect Engn, Glasgow G12 8QQ, Lanark, Scotland

来源：

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 2008年 / 39卷 / 04期

关键词：

H-infinity optimisation; genetic algorithms; structured genetic algorithms; ship control;

D O I：

10.1080/00207720701777959

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this article, the optimisation of the weighting functions for an H-infinity controller using genetic algorithms and structured genetic algorithms is considered. The choice of the weighting functions is one of the key steps in the design of an H-infinity controller. The performance of the controller depends on these weighting functions since poorly chosen weighting functions will provide a poor controller. One approach that can solve this problem is the use of evolutionary techniques to tune the weighting parameters. The article presents the improved performance of structured genetic algorithms over conventional genetic algorithms and how this technique can assist with the identification of appropriate weighting functions' orders.

引用

页码：335 / 347

页数：13

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