Dynamic Overmodulation Methods for Dual Three-Phase Permanent Magnet Synchronous Machines

For dual three-phase permanent magnet synchronous machines (DPMSMs), this article presents three dynamic overmodulation methods for selecting optimal duty cycles with maximum dc-link utilization. Concretely, the voltage references computed by the current controller exceed the modulating constraints when suffering a large reference or sudden load change, resulting in a reduced performance under transient. To address this issue, this paper uses geometric projection to synthesize the voltage reference by selecting one or two active vectors, which are produced by two separate three-phase frames. Moreover, as vector space decomposition (VSD) models dual three-phase machines into two-dimensional orthogonal αβ and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">xy</i> subspaces, the other two proposed methods solve the optimal duty cycles by a quadratic program (QP) solver for the four active voltage vectors. The difference between these two methods lies in the different selection of active voltage vectors in αβ and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">xy</i> frames. Specifically, these two strategies based on the QP solver allow the cost function formulated as a single linear and bound constraint QP, which is calculated by an active set method. Finally, the experimental investigations for a DPMSM are presented to prove the viability and flexibility of the proposed overmodulation methodologies.

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Publication Details

Journal
IEEE Transactions on Transportation Electrification
Published
2025-01-09
DOI
https://doi.org/10.1109/tte.2025.3527680
Citations
1
Primary Topic
Electric Motor Design and Analysis
Type
article
Field-Weighted Citation Impact
0.73

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article

Dynamic Overmodulation Methods for Dual Three-Phase Permanent Magnet Synchronous Machines

Wei Tian, Qifan Yang, Qianwen Duan, Yao Mao et al.
1 citations
IEEE Transactions on Transportation Electrification
Electric Motor Design and Analysis
0.73
article

Dynamic Overmodulation Methods for Dual Three-Phase Permanent Magnet Synchronous Machines

Wei Tian, Qifan Yang, Qianwen Duan, Yao Mao, Jincong Zhu, Qiliang Bao
article en
1 citations

Abstract

For dual three-phase permanent magnet synchronous machines (DPMSMs), this article presents three dynamic overmodulation methods for selecting optimal duty cycles with maximum dc-link utilization. Concretely, the voltage references computed by the current controller exceed the modulating constraints when suffering a large reference or sudden load change, resulting in a reduced performance under transient. To address this issue, this paper uses geometric projection to synthesize the voltage reference by selecting one or two active vectors, which are produced by two separate three-phase frames. Moreover, as vector space decomposition (VSD) models dual three-phase machines into two-dimensional orthogonal αβ and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">xy</i> subspaces, the other two proposed methods solve the optimal duty cycles by a quadratic program (QP) solver for the four active voltage vectors. The difference between these two methods lies in the different selection of active voltage vectors in αβ and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">xy</i> frames. Specifically, these two strategies based on the QP solver allow the cost function formulated as a single linear and bound constraint QP, which is calculated by an active set method. Finally, the experimental investigations for a DPMSM are presented to prove the viability and flexibility of the proposed overmodulation methodologies.

IEEE Transactions on Transportation ElectrificationVol. 11(3)
Chinese Academy of Sciences (CN), Institute of Optics and Electronics, Chinese Academy of Sciences (CN), University of Chinese Academy of Sciences (CN), Technical University of Munich (DE)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 32%
Electric Motor Design and Analysis
0.73
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