随机干扰下汽车电控悬架车身高度控制研究

空气悬架汽车在对其车身高度进行动态切换的过程中会严重受到随机干扰所带来的不良影响，为了解决这个问题，通过与空气弹簧的模型结合而建立整车模型，从而对随机干扰下汽车电控悬架车身高度的调节和控制进行研究。其中神经网络PID自适应高度调节控制器是利用单神经元自调整增益算法来设计的，并通过仿真软件对控制器的性能进行验证。根据仿真结果可验证所设计的控制器能够有效改善随机干扰对汽车电控悬架车身高度调节过程中产生的震荡，并使得车辆的稳定性和舒适性得到了提高。

Vehicle Height Control of Electronic-controlled Air Suspension Under Random Disturbance

The air suspension of cars during dynamic switching of vehicle hieight can suffer serious adverse effects caused by random interference. In order to solve this problem, this paper established vehicle model combined with the air spring model to random disturbances to conduct research on the electronically controlled suspension ride height adjustment and control. The neural network adaptive PID height adjustment controller of the system is designed with a single neuron self-adjustment gain algorithm and simulation software is used to verify the performance of the controller. According the simulation results, it is verified that the controller can effectively improve the random interference of automotive electronic control ride height adjustment, as well as the suspension shocks generated in the process, and the stability and comfort of vehicles.