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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 effect of wheelbase preview control technology on the performance of semi-active suspension system, a half-vehicle semi-active suspension comprehensive model based on wheelbase preview is constructed. Based on neural network and PID control theory, a single neuron Adaptive PID control algorithm, a single neuron PID control system with wheelbase preview semi-active suspension was designed and simulated. In order to study the effectiveness of single-neuron adaptive PID control strategy and the reliability of its control system, a real-vehicle road test based on wheelbase preview is carried out. The results show that compared with the passive suspension system, the peak and standard deviation of vertical acceleration of the vehicle body center are reduced by 20.91% and 19.11% respectively when the vehicle speed is 50km.h-1. When the vehicle speed is 60km.h-1 A decrease of 24.42% and 26.85% respectively, and the pitch acceleration has also been reduced to a certain extent, which improves the ride comfort of the vehicle.