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

[1] A GA-based parameter design for single machine turning process with high-volume production [J].

Ai-Aomar, Raid ;

Al-Okaily, Ala'a .

COMPUTERS & INDUSTRIAL ENGINEERING, 2006, 50 (03) :317-337

[2] MULTIMACHINE POWER-SYSTEM STABILIZER DESIGN BASED ON NEW LQR APPROACH [J].

ALDEEN, M ;

CRUSCA, F .

IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 1995, 142 (05) :494-502

[3]

Bo Dong, 2002, AUTOMOT ENG, V24, P422

[4]

Bottura C. P., 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251), P2295, DOI 10.1109/ACC.1999.786425

[5]

Chen Li, 2000, Journal of Shanghai Jiaotong University, V34, P1312

[6]

Choon Yik Tang, 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251), P520, DOI 10.1109/ACC.1999.782882

[7] A self-adaptive niching genetic algorithm for multimodal optimization of electromagnetic devices [J].

Dilettoso, E ;

Salerno, N .

IEEE TRANSACTIONS ON MAGNETICS, 2006, 42 (04) :1203-1206

[8]

DILETTOSO E, 2007, AUTOMAT CONSTR, V16, P345

[9] Observer based multivariable control of a catalytic reverse flow reactor: comparison between LQR and MPC approaches [J].

Edouard, D ;

Dufour, P ;

Hammouri, H .

COMPUTERS & CHEMICAL ENGINEERING, 2005, 29 (04) :851-865

[10]

GAL G, 2007, IEEE T ANTENN PROPAG, V55, P770

← 1 2 3 →