A Novel Modified PLL-based Position Estimator in SynRMs Injection-based Sensorless Control

Yan Li*, Xiangdong Liu, Zhen Chen, Xiaoyong Sun*

*Corresponding author for this work

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

Abstract

For the purpose of improving the dynamic performance of the injection-based sensorless control for synchronous reluctance machines, a novel phase-locked loop (PLL)-based position estimator has been proposed. The new estimator is modified from the conventional proportional-integral-based PLL by adding a feedforward path as a new control degree of freedom (DOF). Hence, the dynamic performance could be improved by designing the 2DOF controllers. One of the controllers could eliminate the adverse effect of the preceded filter, while the other dominates the cutoff frequency of the estimator. Therefore, the proposed estimator can be treated as a kind of first-order low pass filter with less 'aggressive' for position and speed tracking. Finally, the effectiveness of the proposed method has been verified on the simulations and experiments.

Original languageEnglish
Title of host publication2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2123-2128
Number of pages6
ISBN (Electronic)9798350317589
DOIs
Publication statusPublished - 2023
Event26th International Conference on Electrical Machines and Systems, ICEMS 2023 - Zhuhai, China
Duration: 5 Nov 20238 Nov 2023

Publication series

Name2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023

Conference

Conference26th International Conference on Electrical Machines and Systems, ICEMS 2023
Country/TerritoryChina
CityZhuhai
Period5/11/238/11/23

Keywords

  • Phase-locked loop (PLL)
  • position estimator
  • sensorless control
  • synchronous reluctance machine (SynRM)

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