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
收藏
页码：386 / 388
页数：3
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