This study proposes an Electricity 5.0-oriented supervisory control framework for an interior permanent-magnet synchronous motor (IPMSM) drive that integrates field-oriented control, MTPA, field weakening, loss-minimization control (LMC), speed estimation, and adaptive mode selection. Four operating modes, Performance, Balanced, Eco-LMC, and Resilient, are coordinated according to dynamic, electrical, and sensing conditions. The framework is evaluated under variable-speed operation, load disturbances, motor-parameter variations, DC-link voltage reduction, sensor degradation, and combined disturbances. Performance Mode achieves the lowest speed RMSE of 44.52 rpm, while Eco-LMC reduces iron-loss energy by 26.6% and total modeled electrical losses by 10.2%, with a 2.1% reduction in consumed electrical energy. During sensor degradation, the speed observer maintains an RMSE of approximately 19–21 rpm. In the combined supervisory scenario, only eight mode transitions occur, confirming effective chattering suppression through hysteresis and a 35 ms dwell time. No sustained SVPWM saturation is observed in any scenario. The results demonstrate that adaptive coordination of performance, efficiency, and resilience can improve PMSM drive operation within an Electricity 5.0-oriented control framework.
As electric vehicle adoption grows, the demand for traction systems capable of delivering high peak power also increases. In this work, an integrated electric-vehicle powertrain is developed by combining a permanent-magnet synchronous motor (PMSM) traction drive controlled by field-oriented control (FOC) with a hybrid...
Mohamed Bounagui, T. Nasser, A. Essadki et al.· World Electric Vehicle Journ...· 0 citations
Sensorless control of the Permanent Magnet Synchronous Motor (PMSM) is a key technology for achieving high efficiency and reliable operation in Flywheel Energy Storage Systems (FESS). This review focuses on sensorless control techniques suitable for the wide speed range and high dynamic response of FESS, covering metho...
Shuya Yang, Jun-Ying Wei, Jihong Wang et al.· Journal of Electronics and E...· 0 citations
Predictive current control (PCC) for permanent magnet synchronous motors (PMSM) exhibits slow response and obvious chattering under parameter variation and load shock, while existing schemes cannot coordinate anti-disturbance performance, dynamic speed and battery power constraints.
This paper designs an imp...
Wenjing Chen· Frontiers of Mechanical Engi...· 1 citation
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
This present work introduces an advanced energy management approach for a photovoltaic-battery system supplying a DC load under varying irradiation, temperature, load, and battery charge level conditions. The suggested approach integrates an integral quasi sliding control whose parameters are tuned using the Bald Eag...
Chaymae Abdellaoui, O. Pagès, Mohamed Hajji et al.· EPJ Web of Conferences· 0 citations
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