@inproceedings{a0e7f3c31fdb4c95b1f952f8965df8aa,
title = "Variable Finite Set Model Predictive Control for Current Loop of PMSM Drive System",
abstract = "In this paper, a variable finite set model predictive control (VFS-MPC) method is proposed, which is mainly to reduce the calculation amount of MPC and the number of three-phase switching state changes of permanent magnet synchronous machine (PMSM) control system. Firstly, a two-step MPC with low computational complexity is illustrated. Considering that the steady state performance of this method need to be further improved compared to traditional two-step MPC. After analyzing the voltage vector relationship between the two steps, a VFS-MPC method is proposed which can reduce the computational burden of processor and the number of switching state changes further without affecting the tracking performance. A simulation model is established and the results verify the effectiveness of the proposed method.",
keywords = "Current Control, FCS-MPC, Permanent Magnet Synchronous Machine, Variable Finite Set",
author = "Biao Liu and Zhen Chen and Lei Wang and Hengzai Hu",
note = "Publisher Copyright: {\textcopyright} 2023 Technical Committee on Control Theory, Chinese Association of Automation.; 42nd Chinese Control Conference, CCC 2023 ; Conference date: 24-07-2023 Through 26-07-2023",
year = "2023",
doi = "10.23919/CCC58697.2023.10240302",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "2646--2651",
booktitle = "2023 42nd Chinese Control Conference, CCC 2023",
address = "United States",
}