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基于滑移率的汽车电子机械制动系统的模糊控制 被引量:17

Fuzzy Control Based on Vehicle Slip-ratio for Electro-mechanical Braking Systems
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摘要 电子机械制动系统在具有动力性能好、制动反应快、制动更加精确等优点的同时,也存在着传感器较多、控制复杂、故障风险高的问题。针对该问题,依据电子机械制动系统控制的核心——电动机的控制,以及车辆制动时的重要控制目标之一——实现汽车最佳滑移率,提出基于滑移率的电子机械制动系统的模糊控制策略。该策略不需要制动夹紧力传感器的反馈信号,在制动间隙消除阶段,通过检测电动机电流突变,判断电动机是否堵转。在制动间隙消除后,将得到的滑移率送入模糊控制器,产生脉冲宽度调制信号,控制电动机电磁转矩,得到最佳滑移率,使地面与车轮之间的附着力维持在最大值附近。整个制动过程中不再考虑对制动器执行机构夹紧力的精确控制,将控制器、电动机、执行器组成一个闭环系统。在Simulink中搭建的仿真平台证明了基于滑移率的电子机械制动系统的模糊控制策略具有良好的可行性,为进一步研究打下基础。 Electro-mechanical brake(EMB) system has the advantages of good dynamic property, rapid braking response and more accurate brake, but this system suffers from such problems as needing more sensors, complex control and high failure risk. To solve these problems, this paper introduces a fuzzy control strategy based on the vehicle slip-ratio for the EMB system on the basis of the core of the EMB system control, motor control and one of the important control purposes of the vehicle braking--achieving the optimal vehicle slip-ratio. The proposed control method does not require feedback signals of pressure sensors. The motor stall or not is determined by current mutations in eliminating of brake clearance. After the eliminating of brake clearance, in order to keep the adhesion between the ground and wheels around the maximum, the slip ratio achieved is sent into the fuzzy controller and generates a pulse width modulation signal to control the motor electromagnetic torque to get the optimal slip ratio. The braking process is no longer considered for the accuracy control of brake actuator's clamping force. Controller, motor and actuator comprises a closed loop system. The reasonable of the fuzzy control strategy based on slip-ratio used in EMB is proved by simulation based on Matlab/Simulink. These made a good foundation for further research.
出处 《机械工程学报》 EI CAS CSCD 北大核心 2012年第20期121-126,共6页 Journal of Mechanical Engineering
基金 广东省教育部产学研结合资助项目(2009B090300313)
关键词 电子机械制动系统 无刷直流电动机 滑移率 模糊控制 brake(EMB) Brushless direct current motor Slip-ratio Fuzzy control
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