@inproceedings{73afccdf467d4e7fa838671773eab737,
title = "Parameter-independent Back Electromotive Force Information Estimation Method of the Main Exciter of the Brushless Synchronous Starter Generator",
abstract = "Sensorless starting control of the brushless synchronous starter generator by using the main exciter (ME) as a position sensor is an emerging advanced technology. The back electromotive force (EMF) of ME is the key for position estimation. The back-EMF of ME is usually obtained by the observers and thus the parameters of ME are needed. Therefore, mismatched parameters would lead to an estimation error of the back-EMF and then the rotor position. According to the waveform characteristics of the back-EMF of ME, this paper proposes a parameter-independent method to extract the back-EMF information of ME. The effectiveness of this method is verified by experiment results.",
keywords = "Back electromotive force, Parameter-independent, Sensorless, Starter generator",
author = "Shuai Mao and Chongzhao Ma and Shuo Zhang and Ziqun Guo and Jiachen Shi and Weiguo Liu",
note = "Publisher Copyright: {\textcopyright} 2024 The Institute of Electrical Engineers of Japan.; 27th International Conference on Electrical Machines and Systems, ICEMS 2024 ; Conference date: 26-11-2024 Through 29-11-2024",
year = "2024",
doi = "10.23919/ICEMS60997.2024.10921403",
language = "英语",
series = "2024 27th International Conference on Electrical Machines and Systems, ICEMS 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2237--2241",
booktitle = "2024 27th International Conference on Electrical Machines and Systems, ICEMS 2024",
}