Combining extended kalman filtering and MPC  for advanced induction machine drive systems

Salah-eddine Mokhlis; Nouhaila El Assad; Mohamed Rhouzali; Adil Barra; Bahloul Bensassi

Author(s)

Salah-eddine Mokhlis Department of Physics, GITIL Laboratory, Faculty of Sciences, Ain Chock Hassan II University,Casablanca,Morocco

Nouhaila El Assad Department of Physics, GITIL Laboratory, Faculty of Sciences, Ain Chock Hassan II University,Casablanca,Morocco

Mohamed Rhouzali Department of Physics, GITIL Laboratory, Faculty of Sciences, Ain Chock Hassan II University,Casablanca,Morocco

Adil Barra Department of Physics, GITIL Laboratory, Faculty of Sciences, Ain Chock Hassan II University,Casablanca,Morocco

Bahloul Bensassi Department of Physics, GITIL Laboratory, Faculty of Sciences, Ain Chock Hassan II University,Casablanca,Morocco

Abstract

This paper presents a high-performance control method for induction machine drives that integrates an Extended Kalman Filter (EKF) and Model Predictive Control (MPC) for fast and accurate speed control. The EKF is utilized to estimate the stator flux and load torque and filter noisy measurements of stator currents and rotor speed, thereby enhancing the system's internal state information reliability and accuracy. These enhanced estimates are utilized in the MPC algorithm to predict system dynamics and compute optimal control inputs. The combined EKF-MPC approach provides improved speed tracking, enhanced disturbance rejection, and robust dynamic performance. Simulation results demonstrate the performance and engineering application potential of the proposed method to advanced induction motor drive applications.

Publication Details

Page(s) 1162-1167

DOI DOI not available

Published Journal: ARPN Journal of Engineering and Applied Sciences, Volume: 20, Issue: 14, Year: 2025

Request the full text from PASTIC

Keywords

extended KALMAN filter, induction machine, MPC

References

Soliman A. I.,Farhan A.,Abdelrahem M.,Kennel R.,CPERE R. .2019 .Enhanced Sensorless Model Predictive Control of Induction Motor Based on Extended Kalman Filter. IEEE Conference on Power Electronics and Renewable Energy, 8980031 : 309-313.

Chebaani M.,M. M. Mahmoud A. F.,Tazay M. I.,Mosaad N. A.,Nouraldin N. A. .2023 .Extended Kalman Filter design for sensorless sliding mode predictive control of induction motors without a weighting factor: An experimental investigation. PLoS One, 0293278(11) : .

Zerdali E.,Yildiz R.,Inan R.,Demir R.,Barut M. .2018 .Adaptive Fading Extended Kalman Filter-Based Speed-Sensorless Induction Motor Drive. Proceedings - 2018 23rd International Conference on Electrical Machines, ICEM, 8507168 : 1367-1373.

Taheri A.,Ren H. P.,Song C. H. .2020 .Sensorless Direct Torque Control of the Six-Phase Induction Motor by Fast Reduced Order Extended Kalman Filter. , : .

Englert T.,Graichen K. .2020 .Nonlinear model predictive torque control and setpoint computation of induction machines for high-performance applications. Control Eng Pract, 104415 : .

Yu Z.,Long J.,Drives Industrial .2024 .Review on Advanced Model Predictive Control Technologies for High-Power Converters. Electronics, 4969(24) : .

Liu T.,Yao X.,Kou J. .2024 .Enhanced Model Predictive Control for Induction Motor Drives in Marine Electric Power Propulsion System. Journal of Marine Science and Engineering, 12(3) : .

Benmiloud T.,Omari A. . .Improved Adaptive Flux Observer of an Induction Motor with Stator Resistance Adaptation. (1).. , : .

Hernández R. Herrera,Reusser C.,Carvajal R. .2024 .On Accurate Discrete-Time Dynamic Models of an Induction Machine. Mathematics, 12(3) : .

Mochnáč J.,Marchevský S.,Kocan P. .2009 .Bayesian filtering techniques: Kalman and extended Kalman filter basics. Proceedings of 19th International Conference Radioelektronika, 5158765 : 119-122.

Yang S.,Baum M. .2017 .Extended Kalman filter for extended object tracking. Speech and Signal Processing - Proceedings, 7952985 : 4386-4390.

Auger F.,Hilairet M.,Guerrero J. M.,Orlowska-Kowalska T.,Katsura S. .2012 .Industrial applications of the kalman filter: A review,”. IEEE Transactions on Industrial Electronics, 2236994(12) : 5458-5471.

Kozák Š. .2016 .From PID to MPC: Control engineering methods development and applications. K and I 2016 - Proceedings of the 28th International Conference, 7438634 : .

Ali E. E.,Elnashaie S. S. E. H. .1997 .Nonlinear Model Predictive Control of Industrial Type IV Fluid Catalytic Cracking (FCC) Units for Maximum Gasoline Yield. Ind Eng Chem Res, 36(2) : 389-398.