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

Abdelsalam A. Ahmed,Wei Xu,Md. Rabiul Islam,Fayez F. M. El-Sousy,Mahmoud F. Elmorshedy

doi:10.1109/access.2021.3073020

Abstract

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

Highlights

From the past three decades, the model predictive control (MPC) has been paid more attention by both academia and industry
As every coin has two sides, the Model predictive control (MPC) suffers a few drawbacks compared to the field-oriented control (FOC) or direct torque control (DTC), like more variable switching frequency, higher torque and flux ripple, higher total harmonic distortion in the current, and so on
For designing the continuous control set model predictive control (CCS-MPC), another technique has been used to find out the optimal applicable vector

Summary

INTRODUCTION

From the past three decades, the model predictive control (MPC) has been paid more attention by both academia and industry. Another objective of this review is to extend the limitation of existing publications on the promising MPC for electric drives. It is presented to get one faster dynamics over the FOC

DESIGN OF COST FUNCTION

PREDICTION STEP

ESTIMATION STEP

COMPARISON BETWEEN FCS- AND CCS- MPC TECHNIQUES WITH EXPRIMENTAL RESULTS

MPSC-MPCC CASCADED FOR AC DRIVES

VIII. CONCLUSION