The Superiority of Finite Control Set Methods in Parameter Identification Without High Frequency Signal Injection for PMSM

Kunkun Zuo, Yonglin Gui, Dongliang Ke, Fengxiang Wang, Kennel Ralph, Jose Rodriguez, Marcelo Lobo Heldwein

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

Abstract

While numerous parameter identification methods have been proposed for the permanent magnet synchronous motor (PMSM) that do not require external signal injection, none of them allocates sufficient attention to the input signal. Drawing upon the mathematical model of the PMSM, this study analyzes the characteristics of the drive system and derives the Fisher information function. Subsequently, an optimization problem is formulated to compute the optimal input signal, adhering to the principles of D-optimality. Theoretical analysis demonstrates that employing the finite control set method in the current loop yields superior estimation quality compared to the continuous set method. This conclusion is substantiated by comparative tests.

Original languageEnglish
Title of host publication2024 IEEE 10th International Power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1803-1807
Number of pages5
ISBN (Electronic)9798350351330
DOIs
StatePublished - 2024
Event10th IEEE International Power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia - Chengdu, China
Duration: 17 May 202420 May 2024

Publication series

Name2024 IEEE 10th International Power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia

Conference

Conference10th IEEE International Power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia
Country/TerritoryChina
CityChengdu
Period17/05/2420/05/24

Keywords

  • PMSM
  • Parameter identification

Fingerprint

Dive into the research topics of 'The Superiority of Finite Control Set Methods in Parameter Identification Without High Frequency Signal Injection for PMSM'. Together they form a unique fingerprint.

Cite this