Dynamical Modeling and Neural Network Adaptive Control of Vehicle Suspension

Abstract:

This paper attempts to establish the vibration control technology based on neural network control. First, the dynamic model of vehicle suspension system is discussed, and the linear passive suspension model and nonlinear spring suspension model of the vertical acceleration are compared. It is shown that the performance of nonlinear spring suspension is better than that of the linear passive suspension model. Because of the great advantages of the neural network in dealing with the nonlinear property, secondly, model reference neural control module is introduced in the suspension system to realize the optimization of the body vertical acceleration. Simulation results demonstrate the effectiveness of the neural network adaptive controller with application to vehicle suspension.

• Periodical: Applied Mechanics and Materials (Volumes 148-149)
• Pages: 516-519
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.148-149.516
• Online since: December 2011
• Authors: Jun Tao Fei, Jing Xu
• Keywords: Model Reference Control, Neural Network (NN), Nonlinear System, Vehicle Suspension

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