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...

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Hauptverfasser: Wang Qidong, Zhao Han, Chen Wuwei, Wang Qirui, Fan Dibin
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creator Wang Qidong
Zhao Han
Chen Wuwei
Wang Qirui
Fan Dibin
description 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.
doi_str_mv 10.1109/WCICA.2000.859939
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subjects Adaptive control
Automotive engineering
Control systems
Intelligent control
Intelligent vehicles
Neural networks
Paper technology
Suspensions
Vehicle dynamics
Vibration control
title Research on the intelligence control for automotive semi-active suspensions using the multibody model
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