This paper presents a novel model-free sliding mode control(MFSMC)method to improve the speed response of permanent magnet synchronous machine(PMSM)drive system.The ultra-local model(ULM)is first derived based on the ...This paper presents a novel model-free sliding mode control(MFSMC)method to improve the speed response of permanent magnet synchronous machine(PMSM)drive system.The ultra-local model(ULM)is first derived based on the input and the output of the PMSM.Then,the novel MFSMC method is presented,and the controller is designed based on ULM and MFSMC.A sliding mode observer(SMO)is constructed to estimate the unknown part of the ULM.The estimated unknown part is feedbacked to MFSMC controller to performcompensation for parameter perturbations and external disturbances.Compared with the sliding mode control(SMC)method,the results of simulation and experiment demonstrate that the presented MFSMC method improves the dynamic response and robustness of the PMSM drive system.展开更多
基金This work was supported in part by the Hunan Provincial Natural Science Foundation of China under Grant Nos.2020JJ6083,2019JJ40072,2021JJ50052 and 2020JJ6067the Program of JSPS(Japan Society for the Promotion of Science)International Research Fellows under Grant No.19F19703+3 种基金the Scientific Research Fund of the Hunan Provincial Education Department under Grant No.18A267the Natural Science Foundation of China under Grant No.61773159in part by the Teaching Reform Research Project of Hunan Provincial Education Department of China(Hunan Education Notice[2019]No.291)under Grant No.543the Degree&Postgraduate Education Reform Project of Hunan Province under Grant No.2019JGZD068.
文摘This paper presents a novel model-free sliding mode control(MFSMC)method to improve the speed response of permanent magnet synchronous machine(PMSM)drive system.The ultra-local model(ULM)is first derived based on the input and the output of the PMSM.Then,the novel MFSMC method is presented,and the controller is designed based on ULM and MFSMC.A sliding mode observer(SMO)is constructed to estimate the unknown part of the ULM.The estimated unknown part is feedbacked to MFSMC controller to performcompensation for parameter perturbations and external disturbances.Compared with the sliding mode control(SMC)method,the results of simulation and experiment demonstrate that the presented MFSMC method improves the dynamic response and robustness of the PMSM drive system.
