摘要
介绍了四轮独立驱动电动汽车的驱动防滑控制系统。采用路面识别方法,识别不同路面的最佳滑转率,设计了以滑转率最优为控制目标的模糊-PID联合控制器。为确定模糊-PID联合控制器对提高汽车行驶性能的效用,结合车辆的驱动模型,对变附着系数路面行驶的汽车进行驱动防滑仿真分析。结果表明:基于路面识别的驱动防滑控制系统能快速、准确地识别出路面状况的变化,实时地调整控制参数,并应用模糊-PID联合控制方法,及时地调整驱动电机的输出转矩,使车轮滑转率基本控制在最佳滑转率附近,保证车辆在恶劣路况下行驶时仍可以获得较好的驱动防滑控制效果。
Acceleration Slip Regulation（ASR） system applied in the Four-wheel Drive Electrical vehicle was designed. The method of road status automatic identification was used to identify optima slip ratio of the different roads, and designed Fuzzy-PID Joint Controller that aimed at controlling the optima slip ratio. In order to determine the effectiveness that how Fuzzy-PID Joint Controller improves automobile driving performance, and in combination with vehicle model, ASR test was simulated with variable attachment coefficient road. The results show that the ASR system based on Road Automatic Identification can rapidly and accurately identify the variation of road status, adjust the control parameters in real time, apply Fuzzy-PID Joint Control method to adjust motor torque, control the slip ratio close to theoptima slip ratio, and ensure that vehicles driving in bad road conditions can get better ASR control resuit.
出处
《重庆理工大学学报（自然科学）》
CAS
2012年第7期17-21,60,共6页
Journal of Chongqing University of Technology：Natural Science
基金
重庆理工大学研究生创新基金资助项目(YCX2011301)
关键词
四轮驱动
路面识别
驱动防滑控制
模糊-PID联合控制
four-wheel drive
road automatic identification
acceleration slip regulation
Fuzzy-PIDjoint control
