Synthetic Vectors-Based Predictive Control of Dual Three-Phase PMSMs for Current Harmonics Mitigation Considering Average Deception Effect

IEEE Journal of Emerging and Selected Topics in Power Electronics(2024)

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Abstract
This paper proposes a novel model predictive control scheme for dual three-phase permanent magnet synchronous machines to further suppress the x – y current harmonics caused by unmodeled disturbances such as inverter nonlinearity and back-EMF harmonics, in which the average deception effect is taken into account to avoid larger x – y current spikes. Instead of following the conventional virtual vectors to synthesize a zero-average voltage in the x – y subspace, the rotating non-zero voltage vector is dynamically modulated in a control period by scheduling the dwell times of the three adjacent large vectors and zero vectors to realize the closed-loop current control in the x – y subspace. In the implementation of synthetic vectors, to ensure that large vectors with a higher ratio of α–β/ x – y voltage are applied directly to the inverter, the compare registers A and B of the PWM module are configured to solve the state conflicts issue in the switching sequence. Since the x – y unmodeled disturbances have considerable periodic components, a resonant extended state observer (RESO) is employed to provide a more accurate estimate within a limited bandwidth, resulting in more targeted suppression of the 5th and 7th harmonics. Experimental results validate the superiority of the proposed strategy.
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Key words
Current harmonics mitigation,dual three-phase permanent magnet synchronous machine (DTP-PMSM),model predictive control (MPC),synthetic vectors
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