Simulation of Semi-Active Air Suspension Based on Neural Network-Adaptive Control Algorithm

Abstract

Neural Network-adaptive Control Algorithm is pointed out according to the non-linear characteristic for the semi-active suspension of automobiles and at the same time the recognition device and controller have been designed.The results of the simulation research on the 1/4 variable rigidity air suspension show that neural network self- adaptive controlled semi-active air suspension has an apparent advantages to passive suspension in reducing vibration,correcting the stability and smooth of the automobiles.Thereby, the feasibility and validity which applied into semi-active air suspension is testified.The research also has an instructional function for the further research on the semi-active air suspension.

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Cite this paper

@article{Li2009SimulationOS, title={Simulation of Semi-Active Air Suspension Based on Neural Network-Adaptive Control Algorithm}, author={Hua Li and Chuanyin Tang and Dexu Yang and Xuezong Tao}, journal={2009 Second International Conference on Intelligent Computation Technology and Automation}, year={2009}, volume={2}, pages={236-239} }