A Low-Complexity Optimal Switching Time-Modulated Model-Predictive Control for PMSM with Three-Level NPC Converter

Qi Wang, Haitao Yu*, Chen Li, Xiaoyu Lang, Seang Shen Yeoh, Tao Yang, Marco Rivera, Serhiy Bozhko, Patrick Wheeler

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

64 引用 (Scopus)

摘要

Conventional finite control set model-predictive control (FCS-MPC) presents a high computational burden, especially in three-level neutral-point-clamped (NPC) converters. This article proposes a low-complexity optimal switching time-modulated model-predictive control (OST-M2PC) method for a three-level NPC converter. In the proposed OST-M2PC method, the optimal switching time is calculated using a cost function. Compared with the conventional FCS-MPC, the proposed OST-M2PC method has a fixed switching frequency as well as better power quality. The proposed OST-M2PC can operate at a 20-kHz sampling frequency, reducing the computational burden of the processor. Simulation and experimental results validate the operation of the proposed method.

源语言英语
文章编号9149930
页(从-至)1188-1198
页数11
期刊IEEE Transactions on Transportation Electrification
6
3
DOI
出版状态已出版 - 9月 2020
已对外发布

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