@inproceedings{8e8627c85baa47bbb95c7b7be3a7ed9c,
title = "Extended Kalman Filter based Sensorless Control of PMSM using Flux-immune MPC",
abstract = "Most existing sensorless control methods based on model predictive control (MPC) inadequately address parameter sensitivity. This paper introduces an innovative sensorless control strategy for permanent magnet synchronous motor (PMSM) on the basis of the Flux-immune MPC. The extended kalman filter (EKF) is adopted for the estimation of the rotor position. The key innovation lies in the utilization of an incremental MPC method to remove the permanent magnetic flux linkage within the prediction model. The incremental MPC method predicts the next current time by analyzing the difference between current and voltage at the preceding two time steps. This approach simplifies the prediction model by removing flux linkage parameters through this calculation. Simulation results demonstrate the efficacy of this approach in mitigating the impact of parameter mismatches and minimizing parameter sensitivity within the MPC-based sensorless method.",
keywords = "MPC-based sensorless, flux-immune MPC, parameter sensitivity, sensorless control",
author = "Junqiang Luo and Kai Yang and Yixiao Luo and Jincheng Yu",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 10th IEEE International Power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia ; Conference date: 17-05-2024 Through 20-05-2024",
year = "2024",
doi = "10.1109/IPEMC-ECCEAsia60879.2024.10567474",
language = "英语",
series = "2024 IEEE 10th International Power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "405--410",
booktitle = "2024 IEEE 10th International Power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia",
address = "美国",
}