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作 者:ZHANG Bin WU Xiaoliang YANG Jianfeng YANG Ping SUN Xuewei 张斌;吴晓亮;杨剑锋;杨萍;孙学伟(兰州交通大学自动化与电气工程学院,甘肃兰州730070;兰州交通大学光电技术与智能控制教育部重点实验室,甘肃兰州730070)
机构地区:[1]School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China [2]Key Laboratory of Optoelectronic Technology and Intelligent Control of the Ministry of Education, Lanzhou Jiaotong University, Lanzhou 730070, China
出 处:《Journal of Measurement Science and Instrumentation》2021年第4期449-462,共14页测试科学与仪器(英文版)
基 金:Project of National Natural Science Foundation of China(No.61863023)。
摘 要:Aiming at the problem that the traditional control strategy of permanent magnet synchronous motor(PMSM)for electric vehicles has low control performance,a novel adaptive non-singular fast terminal sliding mode control(ANFTSMC)model predictive torque control(MPTC)strategy is proposed.A new adaptive exponential approach rate is designed,and the traditional switching function sgn()is replaced by the hyperbolic tangent function tanh().A new ANFTSMC with extended state observer(ESO)is constructed as the speed regulator of the system,and ESO can observe disturbances.This improved method weakens chattering and improves the robustness of the system.To realize sensorless control of the speed control system,an ESO speed observer based on tanh(Fal)is constructed.Compared with the traditional ESO based on Fal function,the observation error is smaller,and the observation accuracy is higher.Finally,aiming at the model predictive torque control strategy used,a new objective function construction method is proposed,which avoids the design of weight coefficient,and the traditional voltage vector selection method is improved and optimized,which reduces the calculation amount of the algorithm.
关 键 词:permanent magnet synchronous motors(PMSM) adaptive fast non-singular terminal sliding mode control(ANFTSMC) extended state observer(ESO) model predictive torque control(MPTC)
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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