基于轴距预瞄的汽车半主动悬架控制及试验

Control and test of vehicle semi-active suspension based on wheelbase preview

为了研究轴距预瞄控制技术对半主动悬架系统性能的影响,构建了基于轴距预瞄的1/2车辆半主动悬架综合模型,结合神经网络和PID控制理论,提出了单神经元自适应PID控制算法,设计了轴距预瞄半主动悬架单神经元PID控制系统,进行了仿真计算。为研究单神经元自适应PID控制策略的有效性及其控制系统的可靠性,同时进行了基于轴距预瞄的实车道路试验。研究结果表明:与被动悬架系统相比,在车速为50km.h-1时,车身质心垂直加速度的峰值和标准差分别减少了20.91%和19.11%;车速为60km.h-1时,分别减少了24.42%和26.85%,并且俯仰角加速度也有一定程度降低,较好改善了车辆的行驶平顺性。

In order to study the influence of wheelbase preview control technology on the performance of semi-active suspension system, a half-vehicle semi-active suspension model based on wheelbase preview was established. Neural networks and PID control theory were utilized, the control algorithm of single neuron adaptive PID was put forward, the single neuron PID control system of semi-active suspension based on wheelbase preview was designed, and the simulation was carried out. In order to study the effectiveness of the single neuron adaptive PID control strategy and the reliability of control system, vehicle road test was carried out. Analysis result shows that compared with the passive system, the peak and standard deviation separately decrease by 20. 91% and 19. 11% at the speed of 50 km·h^-1, and decrease by 24.42% and 26.85% at the speed of 60 km·h^-1, and the pitching angular aeeeleration is also reduced at a certain degree, so the vehicle ride performance is improved significantly.