GALQR Optimal Control Method and Applying in the Active Suspension System

DOI

10.2991/iske.2007.95How to use a DOI?

Keywords

Genetic Algorithm; LQR; Optimization; weight; Active Suspension System; Control

Abstract

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

Copyright

© 2007, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Guosheng Zhang
PY  - 2007/10
DA  - 2007/10
TI  - GALQR Optimal Control Method and Applying in the Active Suspension System
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 557
EP  - 562
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.95
DO  - 10.2991/iske.2007.95
ID  - Zhang2007/10
ER  -