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作 者:Xiaoyan Peng Mingfei Jia Lei He Xiang Yu Yibin Lv
机构地区:[1]College of Mechanical and Vehicle Engineering,Hunan University,Changsha,410000,China [2]不详 [3]Concordia University,Montreal,Canada [4]Mechanical electronic engineering from Hunan University,Changsha,China
出 处:《CES Transactions on Electrical Machines and Systems》2018年第1期142-151,共10页中国电工技术学会电机与系统学报(英文)
基 金:This work was supported by the National Natural Science Foundation of China under Grant[number 51575167]。
摘 要:This paper focuses on the controller design using fuzzy sliding mode control(FSMC)with application to electro-mechanical brake(EMB)systems using BLDC Motor.The EMB controller transmits the control signal to the motor driver to rotate the motor.The torque distribution of motors is studied in this paper actually.Firstly,the model of the EMB system is established.Then the state observer is developed to estimate the vehicle states including the vehicle velocity and longitudinal force.Due to the fact that the EMB system is nonlinear and uncertain,a FSMC strategy based on wheel slip ratio is proposed,where both the normal and emergency braking conditions are taken into account.The equivalent control law of sliding mode controller is designed on the basis of the variation of the front axle and rear axle load during the brake process,while the switching control law is adjusted by the fuzzy corrector.The simulation results illustrate that the FSMC strategy has the superior performance,better adaptability to various types of roads,and shorter braking distance,as compared to PID control and traditional sliding mode control technologies.Finally,the hardware-in-loop(HIL)experimental results have exemplified the validation of the developed methodology.
关 键 词:BLDC Motor electro-mechanical brake fuzzy sliding mode control longitudinal force estimation hardware-in-loop experiments wheel slip ratio
分 类 号:TP1[自动化与计算机技术—控制理论与控制工程]
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