Research on the intelligence control for automotive semi-active suspensions using the multibody model

Based on the analysis of the shortcomings of traditional automotive dynamic models, a multi-rigid body model is built, the adaptive control strategy based on neural networks is put forward and the neural identifier and controller are designed in the paper. In order to improve the control effects, a compensating network is added to the control system. Simulation and experiment results show that adaptively controlled semi-active suspensions with nonlinear neural networks can achieve obvious vibration reducing effects.