@inproceedings{0c4f2c14c09e4a1ba2e7c1d42b4a000b,
title = "A Novel Constrained Model Predictive Position Control for PMSM Drives",
abstract = "This paper deals with a novel cascaded-free constrained model predictive position control (CMPPC) design for permanent magnet synchronous motors (PMSM). Predictive control theory is implemented to get rid of conventional three closed-loop position control structure so that bandwidth can be significantly improved. Considering the tough speed and current constraint handling problem in conventional model predictive control (MPC) design, this paper puts forward a novel computational-friendly constraint handling strategy that avoids the troublesome constrained MPC online optimization process in conventional solutions. The proposed method greatly decreases the MPC complexity but ensures the same constraints handling ability and makes predictive control applicable for single loop PMSM position control in reality. Simulation results verify the feasibility and effectiveness of the proposed method.",
keywords = "constraints, model predictive control, permanent magnet synchronous motors, position control",
author = "Shaobin Li and Yongxiang Xu and Jibin Zou",
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/PRECEDE57319.2023.10174501",
language = "英语",
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 = "美国",
}