Jul 2026· The eurasia proceedings of science, technology, engineering & mathematics· Vol 40, pp. 172-183· 0 citations· 30 references
Abstract
Permanent Magnet Synchronous Motors (PMSMs) are indispensable components of modern industrial systems, electric vehicles and renewable energy infrastructures due to their high efficiency, power density, wide speed range and superior torque to inertia ratio. However, maximizing the dynamic performance and energy efficiency of these machines requires advanced control strategies that offer robust stability against variable loads, parameter uncertainties and external disturbances. Furthermore, the inherent nonlinearities of PMSMs, such as magnetic saturation and cross-coupling effects, complicate the design of precise tracking controllers. To address this, this study provides a comprehensive theoretical review of both fundamental and contemporary control techniques for PMSMs. Conventional methods, including Scalar Control (V/f), Field-Oriented Control (FOC) and Direct Torque Control (DTC), are systematically classified alongside recent adaptive, intelligent and robust control approaches. These methodologies are comparatively evaluated based on critical performance criteria, including dynamic response, torque ripple mitigation, computational burden, implementation complexity and parameter sensitivity. By synthesizing these existing frameworks, this research establishes a solid theoretical foundation for future control strategy development, ultimately guiding researchers in designing high-performance, next-generation motor drive architectures.
This paper investigates and compares the performance of two advanced control strategies, direct torque control (DTC) and sliding mode control (SMC), applied to a permanent magnet synchronous generator (PMSG) used in wind energy conversion systems. The control schemes aim to ensure efficient energy conversion and stable...
Nehal Ouassila, D. Djalel, B. Meghni et al.· International Journal of App...· 0 citations
The results obtained prove the fact that the neural network-based FOC gives a considerable performance improvement, thus becoming a viable solution for high-performance PMSM drive applications in electric vehicles, robotics, and industrial automation.
Saif Talal Bahar, Saeed Raheem Salih· International Journal of IoT...· 0 citations
The accelerating global transition toward sustainable electrification has established Permanent Magnet Synchronous Motors (PMSMs) as a key propulsion technology for electric vehicles and advanced industrial applications. However, the inherent nonlinear dynamics and parameter sensitivities of these systems pose signific...
Bashar Reda, Rosy Pradhan, Motaz Altahhan· Proceedings of the Instituti...· 0 citations
Induction motors remain the workhorse of modern industry thanks to their robustness, cost effectiveness and high efficiency, but the growing demands of electrified transport, high-performance automation and Industry 4.0 impose increasingly stringent control requirements. This paper presents an integrated, application-o...
S. Osmanaj, Q. Kabashi, Kadrije Simnica Aliu· Electronics· 0 citations
Switched Reluctance Motors (SRMs) are increasingly adopted in modern electric drive systems due to their mechanical robustness, fault tolerance, and high efficiency. However, their nonlinear magnetic characteristics and discrete torque production often result in pronounced torque ripple, which can limit performance in...
Houda Fetoui, A. Rezig, C. Labiod et al.· ITEGAM- Journal of Engineeri...· 0 citations
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