@inproceedings{6153cff7c5ed42e7aa0e0592e5add2aa,
title = "Sequential Finite-Element-based Model Predictive Torque and Flux Control Method for IPMSM",
abstract = "This paper proposes an advanced sequential finite-element-based model predictive torque and flux control (SQ-FE-MPTFC) method to mitigate the torque ripple of the interior permanent magnet synchronous motor (IPMSM) while simplifying the control implementation by preselecting a reduced control set and eliminating the need for a weighting factor. This strategy optimally selects a combination of active-and zero-voltage vectors at every control cycle and obtains the switching instant based on an adjustable torque-error tolerance and the torque deviation produced by the AVV. First, considering the torque-error tolerance, it preselects two candidate AVVs among those admitted by the two-level voltage source inverter. Then, the switching instant of each candidate is decided using its predicted torque deviation to satisfy the minimum torque ripple. Among these candidates, the optimal one with its corresponding duty time is selected based on a weighting factor-less cost function that considers the flux-amplitude error. Finally, the FE-based IPMSM model is used to verify the effectiveness of the proposed method by simulations in Matlab/Simulink environment.",
keywords = "Finite-element-based model, interior permanent magnet, IPMSM, low complexity, predictive control, ripple reduction, voltage vectors",
author = "Ahmed Nasr and Chunyang Gu and Salman Ijaz and Giampaolo Buticchi and Serhiy Bozhko and Chris Gerada",
note = "Funding Information: This work was supported in part by the Ministry of Science and Technology under National Key Research and Development Program of China under Grant 2021YFE0108600, in part by the Ningbo Key Technology Research and Development Programme under Grant 2021Z035, and in part by the Key International Cooperation of National Natural Science Foundation of China under Grant 51920105011. Publisher Copyright: {\textcopyright} 2022 IEEE.; 5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022 ; Conference date: 22-04-2022 Through 24-04-2022",
year = "2022",
month = jun,
doi = "10.1109/ceepe55110.2022.9783432",
language = "English",
series = "2022 5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1081--1086",
booktitle = "2022 5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022",
address = "United States",
}