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作 者:丁仰阳 DING Yangyang(Automobile and Geological Engineering Department,Hebei Province Mechanical and Electrical Engineering Technician College,Zhangjiakou 075023,China)
机构地区:[1]河北省机电工程技师学院汽车与地质工程系,河北张家口075023
出 处:《机械制造与自动化》2023年第4期217-220,共4页Machine Building & Automation
摘 要:常规模糊PID控制策略下的汽车制动器防抱死技术,能够通过模糊计算最大程度改进制动空间,但是模糊控制过程缺少反馈规则,导致很容易出现模糊过控制问题。利用信息感知、决策和执行模块构建制动器防抱死系统整体架构;从车辆模型、轮胎模型和制动器模型三方面建立动力学模型;通过非线性函数设置免疫反馈规则,调整比例系数,形成反模糊化规则。获得模糊免疫PID与反模糊化约束的控制输出;经过模糊推理和反模糊化过程完成汽车制动器防抱死冗余自动控制。实验仿真结果表明:所提技术在不同路面下都能降低滑移率,减少制动时间,缩短制动距离,避免出现抱死冗余现象。Although the anti-lock technology of automobile brake under the conventional fuzzy PID control strategy can improve the braking space to the greatest extent through fuzzy calculation,the fuzzy control process lacks feedback rules,which leads to the problem of fuzzy over control.The information perception,decision-making and execution modules are used to build the overall architecture of the brake anti lock system.The dynamic model is established in terms of vehicle model,tire model and brake model.The immune feedback rule is set through the nonlinear function,and the proportional coefficient is adjusted to form the anti fuzzification rule.The control output of fuzzy immune PID and anti fuzzy constraints is abtained.Through the process of fuzzy reasoning and defuzzification,the anti-lock redundant automatic control of automobile brakes is completed.The simulation results show that the experimental results show that the proposed technology can reduce slip rate,shorten braking time and distance and avoid locking redundancy.
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