CONTROL-SYSTEM OPTIMIZATION USING GENETIC ALGORITHMS

被引：149

作者：

KRISHNAKUMAR, K ^{[1
]}

GOLDBERG, DE ^{[1
]}

机构：

[1] UNIV ILLINOIS,GEN ENGN,URBANA,IL 61801

来源：

JOURNAL OF GUIDANCE CONTROL AND DYNAMICS | 1992年 / 15卷 / 03期

基金：

美国国家科学基金会;

关键词：

D O I：

10.2514/3.20898

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

The use of genetic algorithms as a technique for solving aerospace-related control system optimization problems is explored in this paper. Genetic algorithms are parameter search procedures based on the mechanics of natural genetics. They combine a Darwinian survival-of-the-fittest strategy with a random yet structured information exchange among a population of artificial chromosomes. The genetic algorithm technique is used to design a lateral autopilot and a windshear controller. The results show that a variety of aerospace control system optimization problems can be addressed using genetic algorithms with no special problem-dependent modifications. Suggestions for other uses related to aerospace control system optimization are presented.

引用

页码：735 / 740

页数：6

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