空气悬架SIMPACK与MATLAB联合仿真研究

Study on Co-simulation of Air suspension system based on SIMPACK and MATLAB

利用虚拟样机技术建立了基于多体动力学软件SIMPACK的空气悬架客车模型,并基于神经元自适应控制理论在MATLAB中设计了神经元自适应控制器。通过SIMPACK中的路面编辑器建立了脉冲输入以及随机输入两种路面模型,进行了SIMPACK动力学模型与MATLAB控制策略的联合仿真研究。仿真结果表明,由车辆虚拟样机模型和神经元自适应控制策略组成的空气悬架系统,相比于被动悬架系统,有效降低了车身垂直振动加速度响应,抑制了车身姿态变化,改善了客车的行驶平顺性和乘坐舒适性。

A multi-body dynamics model of an air suspension bus was built by using virtual prototype technique based on SIMPACK,and a neuron self-adaptive controller under MATLAB environment was designed.Then two road models-impulse input and random input were established by using the road builder in SIMPACK,and the co-simulation of SIMPACK and MATLAB were carried out,which results show that,comparing with the passive system,the air suspension system made up of the virtual prototype model and neuron self-adaptive control scheme can effectively reduce acceleration response in vertical vibration of the vehicle,restrain the variation in body atittude and improve the ride comfort.