Time-Optimal Model Predictive Control of Permanent Magnet Synchronous Motors Considering Current and Torque Constraints

نویسندگان

چکیده

In various permanent magnet synchronous motor (PMSM) drive applications the torque dynamics are an important performance criterion. Here, time-optimal control (TOC) methods can be utilized to achieve highest dynamics. Applying state-of-the-art TOC leads unintended overcurrents and over- undershoots during transient operation. To prevent these characteristics while still achieving model predictive (TO-MPC) is proposed in this work. The TO-MPC contains a reference pre-rotation (RPR) continuous set flux (CCS-MPFC). By applying Pontryagin's maximum principle, solution trajectories for states inputs of PMSM determined neglecting current limits. With solution, linkage CCS-MPFC calculated that corresponds operating point stator-fixed coordinate system. This pre-rotated reached minimum time without as well by incorporating limits time-varying softened state constraints into CCS-MPFC. Simulative experimental investigations linearly nonlinearly magnetized PMSMs whole speed range show that, compared methods, prevented TO-MPC.

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ژورنال

عنوان ژورنال: IEEE Transactions on Power Electronics

سال: 2023

ISSN: ['1941-0107', '0885-8993']

DOI: https://doi.org/10.1109/tpel.2023.3265705