Model predictive control

Control (management)

Scheme (mathematics)

Voltage

Engineering

Psychoanalysis

Pure mathematics

Induction motor

Control engineering

Field (mathematics)

Synchronous motor

Vector control

Set (abstract data type)

Computer science

Mechanical engineering

Permanent magnet synchronous motor

Psychology

Mathematics

Mathematical analysis

Artificial intelligence

Programming language

Control theory (sociology)

Compensation (psychology)

Magnet

Electrical engineering

IEEE/CAA Journal of Automatica Sinica

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.

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