APPLICATION OF GENETIC ALGORITHMS TO THE OPTIMIZATION OF THE ROBUSTNESS OF CONTROLLERS

被引：0

作者：

Santos, Matilde ^{[1
]}

Antequera, Nicolas ^{[1
]}

机构：

[1] Univ Complutense Madrid, Comp Architecture & Automat Control Dept, E-28040 Madrid, Spain

来源：

UNCERTAINTY MODELING IN KNOWLEDGE ENGINEERING AND DECISION MAKING | 2012年 / 7卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

When designing controllers for complex systems, it is not only necessary to control the system but to improve the robustness in order to get a better response. Some indexes allow to measure the performance of the controller, such as the gain and phase margins of the system response. In this paper a computational tool based on genetic algorithms is designed and implemented in order to optimize the robustness of a controller. So it is possible to analyze how the variation of the controller parameters influences the robustness of the system. The tool is applied to the optimization of a LQ controller for a MIMO autonomous vehicle.

引用

页码：1221 / 1232

页数：12

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