Recent Achievements in Model Predictive Control Techniques for Industrial Motor: A Comprehensive State-of-the-Art

Model predictive control (MPC), manly based on a direct use of an explicit and identifiable model, has been widely used in controller design different applications both by academia industry. The reason for such popularity is due to its strong ability providing high performance electric drive systems, as highly recognized the most reliable approach compared with field-oriented (FOC) torque (DTC). In general, MPC numerous features advantages, switching states converter without any modulation, online optimization multivariable control, low current total harmonic distortion, loss, etc . aim this paper provide comprehensive review major development achievements recent progress electrical machines drives. This begins innovative topologies operating principles fundamental MPC, ends summary advanced algorithms. Typical techniques have fully adopted enhance drives, mainly including finite-set model (FS-MPC) tuning weighting factors, maximum per ampere, number vectors, multi voltage vectors one sample period. Finally, great attention paid discussion new trends future research topics.