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Finite-Control-Set Model Predictive Control of Permanent Magnet Synchronous Motor Drive Systems—An Overview

Teng Li, Xiaodong Sun, Gang Lei, Youguang Guo, Zebin Yang, Jianguo Zhu

2022IEEE/CAA Journal of Automatica Sinica270 citationsDOI

Abstract

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.

Topics & Concepts

Model predictive controlScheme (mathematics)Compensation (psychology)Control engineeringVector controlControl (management)Computer scienceControl theory (sociology)Permanent magnet synchronous motorSet (abstract data type)Field (mathematics)MagnetEngineeringInduction motorArtificial intelligenceVoltageMathematicsPsychoanalysisPsychologyProgramming languagePure mathematicsElectrical engineeringMechanical engineeringMathematical analysisMultilevel Inverters and ConvertersAdvanced DC-DC ConvertersMicrogrid Control and Optimization