【摘要】 为研究某半主动悬架车辆的转向稳定性,提出了悬架阻尼BP神经网络PID控制技术。以理想的横摆角速度和实际的横摆角速度误差作为控制目标,对车辆实行转向横摆稳定性闭环控制。通过控制车辆的横摆角速度来分析悬架阻尼变化对车轮垂直载荷及侧倾的影响,针对单移线转向和阶跃转向两种典型工况,应用MATLAB软件进行了仿真。结果表明,在高附着路面上,可以通过控制悬架阻尼来控制车辆的横摆和侧偏运动,当前悬架阻尼增加后悬架阻尼减小时,车辆前后轴左右车轮的载荷转移明显减小,从而能有效抑制车辆的过多转向特性,为改善操纵稳定性提供一种新控制方法。更多还原

【Abstract】 In order to research the steering stability of the semi-active suspension vehicle, the suspension damping BP Neural Network PID control technique was proposed. The error of the desired yaw rate and true rate was selected as the control object to make the closed-loop control of the steering yaw stability. Through control yaw rate to analyze the influence of variation of the suspension damping on wheels vertical load and vehicle roll characteristics, the single lane steering and step steering working condition were simulated by MATLAB. The results show that the variation of suspension damping can control yaw and cornering property on road surface with big adhesion coefficient, the increasing of the front suspension damping and the decreasing of the rear suspension damping can obviously reduce the load shift of the front and rear wheel, and the vehicle over-steering behavior is restrained effectively, and a new control method is provided for the improving vehicle steering stability.更多还原