GALQR Optimal Control Method and Applying in the Active Suspension System
- 10.2991/iske.2007.95How to use a DOI?
- Genetic Algorithm; LQR; Optimization; weight; Active Suspension System; Control
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
- © 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/).
Cite this article
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 -