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作 者:Teng Li Xiaodong Sun Gang Lei Zebin Yang Youguang Guo Jianguo Zhu
机构地区:[1]Automotive Engineering Research Institute,Jiangsu University,Zhenjiang 212013,China [2]IEEE [3]School of Electrical and Data Engineering,University of Technology Sydney,Sydney NSW 2007,Australia [4]School of Electrical and Information Engineering,Jiangsu University,Zhenjiang 212013,China [5]School of Electrical and Information Engineering,University of Sydney,Sydney NSW 2006,Australia
出 处:《IEEE/CAA Journal of Automatica Sinica》2022年第12期2087-2105,共19页自动化学报(英文版)
基 金:supported in part by the National Natural Science Foundation of China(51875261);the Postgraduate Research and Practice Innovation Program of Jiangsu Province(KYCX21_3331);the Faculty of Agricultural Equipment of Jiangsu University(NZXB20210103);。
摘 要:Permanent magnet synchronous motors(PMSMs)have been widely employed in the industry. Finite-control-set model predictive control(FCS-MPC), as an advanced control scheme, has been developed and applied to improve the performance and efficiency of the holistic PMSM drive systems. Based on the three elements of model predictive control, this paper provides an overview of the superiority of the FCS-MPC control scheme and its shortcomings in current applications. The problems of parameter mismatch, computational burden, and unfixed switching frequency are summarized. Moreover, other performance improvement schemes, such as the multi-vector application strategy, delay compensation scheme, and weight factor adjustment, are reviewed. Finally, future trends in this field is discussed, and several promising research topics are highlighted.
关 键 词:Computational burden finite control set(FCS) model predictive control(MPC) permanent magnet synchronous motor(PMSM) robust operation switching frequency
分 类 号:TM341[电气工程—电机] TP273[自动化与计算机技术—检测技术与自动化装置]
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