Mr SUNBO WANG Sunbo.Wang1@nottingham.ac.uk
Research Fellow
An Enhanced Model Predictive Torque Control With Online Loss Minimization Tracking for SPMSM Drive
Wang, Sunbo; Rivera, Marco; Gerada, Chris; Wheeler, Patrick; Lophitis, Neophytos
Authors
Professor MARCO RIVERA MARCO.RIVERA@NOTTINGHAM.AC.UK
PROFESSOR
Professor CHRISTOPHER GERADA CHRIS.GERADA@NOTTINGHAM.AC.UK
PROFESSOR OF ELECTRICAL MACHINES
Professor PATRICK WHEELER pat.wheeler@nottingham.ac.uk
PROFESSOR OF POWER ELECTRONIC SYSTEMS
Neophytos Lophitis
Abstract
Maximum efficiency per ampere (MEPA) control, also known as loss minimization (LM) control, aims to minimize losses in permanent magnet synchronous machine (PMSM) drive systems by optimizing the dq-axis current references. Addressing the complexities associated with precise drive loss models and the challenges of implementing online optimization for MEPA/LM, this article introduces an enhanced model predictive torque control (MPTC). This new strategy incorporates a reformulated cost function that integrates LM control within the conventional MPTC framework, treating it as a constrained optimization problem. The stability of the proposed MPTC approach is theoretically analyzed using Lyapunov stability theory. Simulation and experimental results validate the control accuracy, dynamic response, and efficiency gains facilitated by this innovative strategy.
Citation
Wang, S., Rivera, M., Gerada, C., Wheeler, P., & Lophitis, N. (2024). An Enhanced Model Predictive Torque Control With Online Loss Minimization Tracking for SPMSM Drive. IEEE Transactions on Industrial Electronics, 1-10. https://doi.org/10.1109/tie.2024.3493173
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 26, 2024 |
Online Publication Date | Dec 3, 2024 |
Publication Date | Dec 3, 2024 |
Deposit Date | Jan 9, 2025 |
Publicly Available Date | Jan 17, 2025 |
Journal | IEEE Transactions on Industrial Electronics |
Print ISSN | 0278-0046 |
Electronic ISSN | 1557-9948 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Pages | 1-10 |
DOI | https://doi.org/10.1109/tie.2024.3493173 |
Public URL | https://nottingham-repository.worktribe.com/output/42840507 |
Publisher URL | https://ieeexplore.ieee.org/document/10774161 |
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