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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationIECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Computer Society
ISBN (Electronic)9798350331820
DOIs
StatePublished - 2023
Event49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 - Singapore, Singapore
Duration: 16 Oct 202319 Oct 2023

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
ISSN (Print)2162-4704
ISSN (Electronic)2577-1647

Conference

Conference49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023
Country/TerritorySingapore
CitySingapore
Period16/10/2319/10/23

Keywords

  • brushless electrically excited synchronous starter/generator
  • low-order harmonic rejection
  • rotor position estimation

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