@inproceedings{7831d860493945e6a22f39e772e13f00,
title = "Special Estimation Analysis for the Position of Switched Reluctance Machine using Sinusoidal Inductance Model",
abstract = "Fourier modelings of the inductance of switched reluctance machines have been extensively investigated extensively in the past, but the skills are restricted to the construction of the inductance profile model at a known motor position. This paper gives a presentation of a novel sensorless position estimation method based on online sinusoidal modeling of relative inductance for switched reluctance motors at startup. The background of this method is based on sinusoidal fitting and only very few data points are needed. It is numerically efficient and can provide accurate position information for each phase. There is no special requirement on the inductance profile of the machine, and the magnetic characteristics of the machine are not required. The method is simple and easy to implement. Experimental results have confirmed its validity.",
keywords = "Estimation, Position Sensorless, SR machine, Startup, Switched Reluctance Motor",
author = "Cheng, {Yan Tai} and Cheng, {K. W.E.}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 9th International Conference on Power Electronics Systems and Applications, PESA 2022 ; Conference date: 20-09-2022 Through 22-09-2022",
year = "2022",
month = sep,
doi = "10.1109/PESA55501.2022.10038390",
language = "English",
series = "Proceedings of the 9th International Conference on Power Electronics Systems and Applications, PESA 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Cheng, {Ka-wai Eric}",
booktitle = "Proceedings of the 9th International Conference on Power Electronics Systems and Applications, PESA 2022",
}