摘要
依托CarSim软件建立后轮独立驱动电动汽车驱动防滑控制(ASR)系统。采用路面识别方法 ,识别出几种典型路面的最佳滑转率,并设计了以最佳滑转率为控制目标的模糊PID控制器。为确定该控制器对提高汽车行驶的效能,采用CarSim和Simulink对对接路面和对开路面进行联合仿真。仿真结果表明:在有路面识别的ASR系统能够实时准确地识别出路面峰值附着系数μmax变化,实时地调整控制参数,使车轮滑转率基本上控制在最佳滑转率Sopt附近,明显改善了电动汽车的纵向动力性及行驶稳定性。
The rear wheel independent drive of EV （electric vehicle） ASR （Acceleration Slip Regulation） control system was established based on CarSim software. The system can identify the optimal slip ratio of several typical roads relying on road recognition method. The system also has a Fuzzy-PID controller which takes the best slip rate as control target. CarSim and Simulink software jointing simulation is used in the docking and split road to determine the controller in improving the vehicle driving performance. The simulation results show that with the help of road identification, the ASR system can identify the changes of road adhesion coefficient accurately, adjust the controller parameters in real-time, to control the wheel slip near the optimal slip ratio basically. So it can improve the longitudinal performance and stability significantly.
出处
《农业装备与车辆工程》
2015年第7期38-42,51,共6页
Agricultural Equipment & Vehicle Engineering
基金
辽宁省教育厅项目(L2012217)
辽宁省教育厅项目(L2013253)
关键词
独立驱动
路面识别
滑转率
模糊PID控制器
independent drive
road identification
slip ratio
Fuzzy-PID controller
