Investigation of predictive current control and hysterisis current control for induction motor

Talib, Md Hairul Nizam and Md. Jamal, Muhammad Haziq and Rasin, Zulhani and Mat Lazi, Jurifa and Alias, Azrita and Muskhir, Mukhlidi (2025) Investigation of predictive current control and hysterisis current control for induction motor. Journal of Power and Energy Engineering, 13 (8). pp. 307-320. ISSN 2327-5901

Text jpee_1771256.pdf Available under License Creative Commons Attribution. Download (4MB)

Abstract

Induction Motor (IM) drives are gaining substantial interest among researchers and industries due to their ability to deliver high-performance AC drives through vector control mechanisms. Advancements in power electronics and Digital Signal Processing (DSP) technologies have enabled the adoption of sophisticated motor drive control strategies, such as Model Predictive Control (MPC). This paper presents the design, analysis, and investigation of two alternative current control strategies: Model Predictive Current Control (MPCC) and Hysteresis Current Control (HCC) where HCC is implemented within a conventional Field-Oriented Control (FOC) scheme. The study focuses on the implementation of these control methods in IM drives particularly Model Predictive Current Control (MPCC). Furthermore, a comprehensive comparison is conducted between the MPCC and HCC methods using MATLAB/Simulink simulation studies with a Proportional-Integral (PI) speed controller. The findings reveal that the MPCC approach outperforms the HCC in terms of speed, torque, and current responses under both transient and steady-state situations. The results underscore the promising potential of MPCC strategies as viable alternatives for enhancing the performance of Induction Motor drives in practical applications.

Item Type:	Article
Uncontrolled Keywords:	Induction Motors, Model Predictive Current Control, Hysteresis Current Control, Field Oriented Control, Electric Drives
Divisions:	Faculty of Electrical Engineering
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	15 Jul 2026 00:14
Last Modified:	15 Jul 2026 00:14
URI:	http://eprints.utem.edu.my/id/eprint/29927
Statistic Details:	View Download Statistic

Actions (login required)

View Item