Search-Algorithm-Based Offline Inductance Identification Using Sliding Mode Flux Observation Data for IPMSMS

  • Yaofei Han
  • , Shaofeng Chen
  • , Zhixun Ma
  • , Chao Gong
  • , Xing Zhao
  • , Yunwei Li

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

This letter proposes a sliding mode observer (SMO) based technique to detect the d-, q-axis inductances of interior permanent magnet synchronous machines (IPMSM) offline by using a novel search algorithm. The rationale behind the proposed method is that the chattering effects of the SMO are minimal when the parameters used to construct the observer comply with the real ones. First, a sliding mode flux observer (SMFO) is constructed to observe the rotor flux that has strong links with the inductances. Second, the relationship between the inductances and the observed flux, which is relevant to the chattering effects of the SMFO, is illustrated in theory. Then, a quick search algorithm that can be easily executed on the digital processors is designed to detect the d- and q-axis inductances. Finally, comparative experiment is conducted on an IPMSM to validate the proposed techniques.

Original languageEnglish
Pages (from-to)4033-4038
Number of pages6
JournalIEEE/ASME Transactions on Mechatronics
Volume29
Issue number6
DOIs
StatePublished - 2024

Keywords

  • Chattering
  • interior permanent magnet synchronous motor (IPMSM)
  • offline inductance
  • parameter identification
  • sliding mode flux observer (SMFO)

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