半主动空气悬架神经网络自适应控制的仿真研究

Semi-active Air Suspension Self-adaptive Neural Network Control Simulation

文章提出将神经网络自适应控制策略用于半主动空气悬架的控制,通过仿真研究表明半主动悬架能较好地改善车辆行驶的平顺性和操纵稳定性。

The self-adaptive neural network control strategy is employed to control the semi-active suspension system. The simulation research shows that semi-active suspension can improve the ride comfort and manipulation stability, and that the semi-active air suspension self-adaptive neural network control is applicable and effective.