整车道路模拟试验台的控制算法

Control Algorithm of Test Rig for Vehicle Road Simulation

介绍多输入多输出系统时域波形再现(TWR)过程,给出基于频率响应函数(FRF)模型的系统辨识方法以及基于频域迭代自学习控制(ILC)算法的目标信号迭代具体流程.针对整车道路模拟试验台控制算法软件的开发,提出在迭代过程中对信号进行适当重叠分段的频域迭代自学习控制算法.通过现有的四通道整车道路模拟试验台,在真实环境中成功实现了对某样车各车轮轴头处垂向加速度的时域波形再现.结果表明,该算法精度较高,能够作为试验台的控制算法.

The paper presents a description about the entire process of time waveform replication （TWR） for multipleinput multiple-output system and an illustration of the procedure of system identification based on frequency response function （FRF） and target signal iteration based on frequency-domain iteration learning control （ILC） algorithm. The frequency-domain iteration learning control algorithm through setting proper overlaps and sections of the signals is proposed for control software development of vehicle road simulation test rig. A real 4-post test rig for road simulation is chosen, and time waveform replication of vertical spindle acceleration signals of a vehicle is successfully achieved with the proposed algorithm. The result shows that the algorithm gets high precision and it can be used to control the test rig.