【作者】 初亮； 孙万峰； 房永； 张永生； 刘明辉； 魏文若； 任立鹏；

【Author】 Chu Liang, Sun WanFeng, FangYong&ZhangYongSheng College of Automotive Engineering, jilin University Liu Minghui, Wei Wenruo,Ren LiPeng R&D Center, China FAW Group Corp

【机构】 吉林大学汽车工程学院； 中国第一汽车集团公司技术中心；

【摘要】 基于滑移率的ABS模糊控制方法控制效果优于逻辑门限控制．但其难点在于为实现在不同路面上均能取得最佳效果．必须使系统能够实时识别路面特性。本文应用一种近似的附着系数和滑移率关系曲线实时估算最佳滑移率,模糊控制逻辑根据识别结果调整控制目标。通过多自由度车辆模型离线仿真证明．具有识别算法的模糊控制较普通模糊控制具有更好的适应性。更多还原

【Abstract】 The control result of ABS fuzzy control logic based on slip ratio precedes that of thresholds. However, it is hard to reach the best result without identification of the road condition in real time. An estimation of optimal slip ratio in real time based on approximate curve of friction coefficient and slip ratio was presented in this paper, and the result of the identification is used by the fuzzy control logic to adjust the desired target. It is proved that the logic that has identification of optimal slip ratio has better effect than that don’t have.更多还原