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Deadbeat Predictive Control for Harmonic Current Suppression in Permanent Magnet Synchronous Machines Based on Measurement-Informed Spatial Harmonic Model
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DOI：10.1109/tim.2026.3716476.png)
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Abstract
En 中文
Existing predictive control methods for permanent magnet synchronous machines (PMSMs) typically rely on static <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$d$ </tex-math></inline-formula>-<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$q$ </tex-math></inline-formula>-axis inductance parameters and simplified magnetic field assumptions, neglecting the effects of magnetic saturation and spatial harmonics. This results in insufficient harmonic suppression capability in PMSMs. To address this limitation from a measurement and modeling perspective, this article develops an analytical PMSM model considering spatial harmonics, in which the flux linkage harmonics are obtained through harmonic measurement. Based on this model, a Deadbeat Predictive Control Considering Spatial Harmonics (DPC-CSHs) method is proposed to enhance current harmonic suppression. Experimental results demonstrate that the proposed method significantly improves harmonic suppression effectiveness compared with the conventional deadbeat predictive control (DPC) method and existing current harmonics suppression methods.
Keywords:
Current harmonic suppression
deadbeat predictive control (DPC)
measurement-informed spatial harmonic modeling
permanent magnet synchronous machine (PMSM)
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5.9
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1.9W
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5.8W
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