Vibration control of a nonlinear quarter-car active suspension system by reinforcement learning

İ.Ö. Bucak and H.R. Öz

International Journal of Systems Science, 2012, vol. 43, issue 6, 1177-1190

Abstract: This article presents the investigation of performance of a nonlinear quarter-car active suspension system with a stochastic real-valued reinforcement learning control strategy. As an example, a model of a quarter car with a nonlinear suspension spring subjected to excitation from a road profile is considered. The excitation is realised by the roughness of the road. The quarter-car model to be considered here can be approximately described as a nonlinear two degrees of freedom system. The experimental results indicate that the proposed active suspension system suppresses the vibrations greatly. A simulation of a nonlinear quarter-car active suspension system is presented to demonstrate the effectiveness and examine the performance of the learning control algorithm.

Date: 2012
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DOI: 10.1080/00207721.2010.549576

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