Regular Article

Adaptive Deadbeat Predictive Control for PMSM-based solar-powered electric vehicles with enhanced stator resistance compensation

¹ Université de Tunis El Manar, Ecole Nationale d’Ingénieurs de Tunis, LR11ES15 Laboratoire de Systèmes Electriques, 1002 Tunis, Tunisie
² Université de Gabès, Institut Supérieur des Sciences Appliquées et de Technologie de Gabès, 6029 Gabès, Tunisie
³ Université de Carthage, Ecole Nationale d’Architecture et d’Urbanisme, 2026 Sidi Bou Said, Tunisie

^* Corresponding author: marwa.bensaidromdhane@enit.utm.tn

Received: 15 September 2023
Accepted: 6 November 2023

Abstract

This article introduces an innovative approach called Adaptive Deadbeat Predictive Control (ADPC), specifically designed to regulate the operation of a Permanent Magnet Synchronous Motor (PMSM) within a solar-powered electric vehicle (SEV). Considering the influence of factors such as magnetic saturation, material aging, and temperature fluctuations, discrepancies may arise between actual and nominal parameter values. Notably, the stator inductance, permanent magnet flux linkage, and stator resistance are crucial variables in this context. The article conducts an in-depth theoretical examination of the consequences of these parameter mismatches on the overall stability of the system. To mitigate the effects of stator resistance variability, an adaptive control methodology is proposed. This strategy hinges on real-time control adaptation, achieved by continuously estimating the resistance value through diligent consideration of the actual winding temperature. The proposed Adaptive Deadbeat Predictive Control framework is seamlessly implemented and simulated within the MATLAB Simulink environment. The simulation results eloquently validate the efficacy of the proposed control approach, showcasing its adeptness in mitigating the system’s sensitivity to stator resistance deviations, thereby fortifying the overall control resilience.