Improved Rotor Position Estimation Method of Brushless Electrically Excited Synchronous Starter/Generator

Chongzhao Ma, Shuai Mao, Weiguo Liu, Guangzhao Luo, Xinyu Li

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

This article presents an improved rotor position estimation method for a brushless electrically excited synchronous starter/generator (BESSG). Based on the multistage characteristics of BESSG, a high-frequency voltage is injected into the stator side of the main machine (MM), and the estimated rotor position is obtained through the estimation of excitation current. To suppress the estimated rotor position harmonic error caused by inverter nonlinearities, a novel phase-locked loop based on the gradient descent algorithm is proposed. In this method, the weight of harmonics is adjusted iteratively to improve the accuracy and reliability of the rotor position estimation. Experimental results have verified the feasibility of the proposed strategy.

源语言英语
主期刊名IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society
出版商IEEE Computer Society
ISBN(电子版)9798350331820
DOI
出版状态已出版 - 2023
活动49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 - Singapore, 新加坡
期限: 16 10月 202319 10月 2023

出版系列

姓名IECON Proceedings (Industrial Electronics Conference)
ISSN(印刷版)2162-4704
ISSN(电子版)2577-1647

会议

会议49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023
国家/地区新加坡
Singapore
时期16/10/2319/10/23

指纹

探究 'Improved Rotor Position Estimation Method of Brushless Electrically Excited Synchronous Starter/Generator' 的科研主题。它们共同构成独一无二的指纹。

引用此