Application of Genetic Algorithms in Adaptive Control Systems Design

被引：0

作者：

Ignatiev, K. V. ^{[1
]}

Sheludko, V. N. ^{[1
]}

Serykh, E. V. ^{[1
]}

Rusyaeva, T. L. ^{[1
]}

机构：

[1] St Petersburg Electrotech Univ LETI, Control Syst Dept, St Petersburg, Russia

来源：

PROCEEDINGS OF 2017 XX IEEE INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND MEASUREMENTS (SCM) | 2017年

关键词：

Genetic algorithms; adaptive control system; elastic electromechanical system;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The paper deals with direct searchless adaptive control systems design based on genetic algorithms application. Real number genotype coding is used in the paper. As a fitness function a greatest sum of absolute values of differences between plant step response and reference model step response a in a presence of plant parameters varying [BK1] is used. A method proposed is considered by the example of adaptive control system for double mass elastic electromechanical system.

引用

页码：386 / 388

页数：3

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