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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Indonesian Journal of Electrical Engineering and Computer Science
Jurifa Mat Lazi
Universiti Teknikal Malaysia Melaka
Control & Systems Engineering Electrical & Electronics Engineering

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Overview: Model predictive control techniques for controlling induction motor based on vector control Alakkad, Moataz M.A.; Talib, Md. Hairul Nizam; Rasin, Zulhani; Mat Lazi, Jurifa; Md. Jamal, Muhammad Haziq; Mat Isa, Zainuddin
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2049-2057

Abstract

This paper presents a comprehensive review of electric induction motor (IM) drive systems. It conducts an evaluation and critical analysis of modern control techniques aimed at enhancing induction motors or IM drive performance, drawing insights from a systematic literature survey. This review paper introduces the mathematical and dynamic models of induction motors and control via two-level inverter drives. Furthermore, the paper offers an extensive review of model predictive control (MPC) for induction motors which is considered a vector control (VC) technique. The MPC are subdivision based on control parameters into two modes, model predictive current control (MPCC) and model predictive torque control (MPTC). The paper thoroughly examines each control technique, providing insights into mathematical control analysis, block diagrams, and operational mechanisms, as well as the advantages and disadvantages associated with the method. The model predictive control (MPC) stands out due to its distinct advantages, particularly in terms of simplicity, accuracy, and efficiency.
Speed drives control using particle swarm optimization for PMSM drives Mat Lazi, Jurifa; Nizam Talib, Md Hairul; Bin Kasdirin, Hyreil Anuar; Bin Hashim, Mohd Ruzaini; Alias, Azrita
Indonesian Journal of Electrical Engineering and Computer Science Vol 38, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v38.i3.pp1440-1449

Abstract

The paper presents a contemporary method for controlling the speed of a permanent magnet synchronous machine (PMSM) by optimizing the parameters of a proportional-integral (PI) controller using the particle swarm optimization (PSO) algorithm. This approach aims to enhance the robustness and dynamic performance of the drive system, resulting in improved accuracy and sensitivity to load changes and wide range of speed. The study evaluates two tuning techniques for the PI controller, which are the traditional trial-and-error method and the PSO optimization method. The performance of the PMSM is assessed based on speed response performance, including rise time, overshoot, and settling time. The PSOtuned controller significantly minimizes overshoot compared to the trialand-error method. And also achieves a shorter settling time, indicating a more stable response. However, the rise time is slightly longer with the PSO-tuned controller compared to the conventional tuning method just for the medium speed. For the rated speed, PSO still having shorter rise time compared to trial-and-error PI method. These findings imply that while the PSO method may result in a longer rise time, its overall advantages in reducing overshoot and settling time make it a more effective option for speed control in PMSMs. This is consistent with other research suggesting that PSO can outperform traditional methods in optimizing control parameters across various applications.
Co-Authors Alakkad, Moataz M.A. Alias, Azrita Bin Hashim, Mohd Ruzaini Bin Kasdirin, Hyreil Anuar Mat Isa, Zainuddin Md. Jamal, Muhammad Haziq Nizam Talib, Md Hairul Rasin, Zulhani Talib, Md. Hairul Nizam