Comprehensive Review of Finite-control-set Model Predictive Control Methods for Permanent-magnet Synchronous MotorsOA

Permanent-magnet synchronous motors(PMSMs)have become the preferred choice in the industrial sector owing to their high power density,excellent efficiency,and wide speed control range.Over the past decade,advancements in high-performance drives and power electronics have propelled the development of model predictive control(MPC)technology.Among the various approaches,finite-control-set MPC(FCS-MPC)has attracted significant interest for the control of permanent-magnet motors owing to its simple structure and fast response.Three key challenges in FCS-MPC are explored by leveraging recent research advancements:selecting appropriate weighting factors in the cost function,optimizing vector selection,minimizing computation time in multi-vector control,and improving system robustness under parameter mismatches.Additionally,the evolution and application of FCS-MPC in PMSMs are discussed.