Fuzzy logic-based vector control of permanent magnet synchronous motor drives under inter-turn short-circuit fault conditions

• Datum: 2025
• Hauptverfasser: Laamari, Y., Boukhennoufa, N., Benderradji, H., Allaoui, S.
• Format: Artikel
• Sprache: English
• Veröffentlicht: National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine 2025
• Schlagworte: permanent magnet synchronous motor; field-oriented control; inter-turn short-circuit; PI controller; fuzzy logic controller
• Online Zugang: http://eie.khpi.edu.ua/article/view/328768
• Назва журналу: Electrical Engineering & Electromechanics

Introduction. Permanent magnet synchronous motors (PMSMs) are widely used in industrial and automotive applications due to their high efficiency and power density. Problem. However, their performance can be significantly affected by faults such as inter-turn short-circuits faults (ITSCFs) in the stator windings. These faults introduce oscillations in rotor speed and electromagnetic torque, increase total harmonic distortion (THD), and degrade the overall reliability of the system drive. Conventional field-oriented control (FOC) methods, particularly, those employing PI controllers, often struggle to maintain stability under such fault conditions. Goal. This study aims to develop and evaluate a fuzzy logic-based control strategy to enhance the fault tolerance of PMSM drives under ITSCFs conditions. Methodology. To achieve this, a mathematical model of the PMSM is developed to represent both healthy and faulty operating states. This model is integrated into a vector control framework where two types of speed controllers are compared: a conventional PI controller and a fuzzy PI controller. The proposed fuzzy logic controller is implemented within the FOC scheme and evaluated through simulation. Results. Simulation results demonstrate that the fuzzy vector control approach significantly reduces rotor speed and electromagnetic torque ripples under both healthy and faulty conditions, while maintaining stable torque output and minimizing THD. It consistently outperforms the conventional PI controller. Scientific novelty. Unlike traditional FOC methods, this study introduces a fuzzy logic-enhanced control strategy specifically designed to improve PMSM performance under fault conditions. The integration of fuzzy logic with vector control offers superior dynamic response and enhanced resilience. Practical value. The proposed approach improves the robustness and reliability of PMSM drives, particularly in fault-sensitive applications such as industrial automation and electric vehicles. This contributes to extended system lifespan and improved operational stability. References 26, tables 2, figures 13.