@inproceedings{aaf2fc405ae54147bc4a2813a6e1b4d4,
title = "Alternating Sequential Model Predictive Control of Permanent Magnet Synchronous Machine",
abstract = "Complex weighting factor design is an issue facing model predictive control (MPC) when dealing with multiple control objectives simultaneously. Sequential MPC (SMPC) is a recent proposal to address the weighting factor issue. However, there is a need to determine the priority of the control objectives. This paper proposes an alternating SMPC (ASMPC) for a permanent magnet synchronous machine (PMSM) that eliminates the weighting factor and does not need to determine the priority of control objectives. In the proposed ASMPC, the cost functions corresponding to PMSM flux and torque control are evaluated in an alternating manner. The computational burden is reduced at the same time because only the pre-selected switch candidates are evaluated in the upcoming cost function evaluation. The PMSM flux and torque can be effectively regulated with the proposed ASMPC Simulation results demonstrate that the proposed ASMPC method can achieve satisfactory control performance.",
keywords = "Model Predictive Control (MPC), Permanent Magnet Synchronous Machine (PMSM), Sequential Model Predictive Control (SMPC), Weighting Factor",
author = "Yan Yu and Jianwei Zhang and Guizhen Tian and Guangchen Liu",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023 ; Conference date: 16-06-2023 Through 19-06-2023",
year = "2023",
doi = "10.1109/PRECEDE57319.2023.10174315",
language = "English",
series = "2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023",
address = "United States",
}