车辆半主动悬架神经网络自适应控制研究

The Research of Neural-network Adaptive Control for Vehicle Semi-active Suspension

文中提出了一种汽车半主动悬架系统的神经网络自适应控制方法,用车身垂直加速度作为主要控制目标,以提高车辆行驶的平顺性,同时在仿真控制研究中兼顾悬架动挠度和车轮动载荷的变化,以提高车辆行驶安全性和操纵稳定性,通过仿真计算和分析验证了其可行性和有效性。

This paper presents self-adaptive neural network control strategy for the performance index. of vehicle body acceleration to be determined to show the fide comfort,with the value of snspension wheel load and the value of snspension displacement to show manipulate stability. The simulation and analysis results indicate that this strategy is applicable and efective.