GALQR optimal control method and applying in the active suspension system

被引：0

作者：

Zhang, Guosheng ^{[1
]}

机构：

[1] Northwestern Polytech Univ, Sch Mechatron Engn, Xian 710072, Peoples R China

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND KNOWLEDGE ENGINEERING (ISKE 2007) | 2007年

关键词：

genetic algorithm; LQR; optimization; weight; active suspension system; control;

D O I：

10.2991/iske.2007.95

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper adds genetic algorithm (GA) to Linear Quadratic Regulator (LQR) and presents a new optimal control method-GALQR. The GALQR control method uses GA to optimize the weight matrices of LQR and adopts the divisional removing searching mechanism to insure getting the global optimal results. The method was applied to design the control schedules of the Active Suspension System. Comparing with the experiential LQR, the results show the GALQR can increase the possibility of finding the optimal weight matrices and make the system gain better design performances.

引用

页数：1

共 22 条

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