Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2006.10c
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- Pages.266-268
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- 2006
LQG Controller Design for Active Suspensions using Evolution Strategy and Neural Network
진화전략과 신경회로망을 이용한 능동 현가장치 LQG 제어기 설계
- Published : 2006.10.27
Abstract
In this paper, we design a Linear Quadratic Gaussian(LQG) controller for active suspensions. We can improve the inherent suspension problem, trade-off between the ride quality and the suspension travel by selecting appropriate weights in the LQ-objective function. Using an optimization-algorithm, Evolution Strategy(ES), we find the proper control gains for selected frequencies, which have major effects on the vibrations of the vehicle's state variables. The frequencies and proper control gains are used for the neural network data. During a vehicle running, the trained on-line neural network is activated and provides the proper gains for non-trained frequencies.