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机构地区:[1]河南理工大学机械与动力工程学院,河南焦作454000 [2]郑州飞龙汽车部件有限公司,河南郑州451450
出 处:《实验室科学》2017年第5期75-80,共6页Laboratory Science
摘 要:为提高车辆制动性和行驶安全性,针对当前ABS控制方法,提出了基于路面识别的ABS模糊控制。该方法利用车轮制动力矩对路面附着系数进行观测,当观测到μ-λ曲线趋近峰值点时,立即对当前路面进行路面识别,并基于此对车辆ABS进行模糊控制。建立以七自由度整车模型为研究对象,然后通过MATLAB/simulink软件对该控制方法进行制动实验和路面识别仿真。通过仿真实验表明,基于该方法的ABS控制具有较好的制动效果和较强的鲁棒性,并能够对当前车辆行驶路面类型做出准确的识别。In order to improve the vehicle's braking perform and driving safety, in view of the current control methods of ABS, we present ABS fuzzy control based on road condition identification. When the adhesion coefficient is close to the maximum tire road friction coefficient, it will distinguish the road conditions according to the wheel's braking torque, and takes the identified current vehicle optional slip as the goal of fuzzy control. We established the vehicle of 7-DOF, then brake and road condition iden- tification simulation of this method by MATLAB/simulink in this paper, the result shows that the meth- od has a good braking effect and better robustness, and accurately identify types the of current road condition.
关 键 词:整车模型 模糊控制 路面识别 制动防抱死系统(ABS)
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