Parameter Identification and Self-Commissioning in AC Motor Drives: A Technology Status Review

Shafiq Ahmed Odhano, Paolo Pescetto, Hafiz Asad Ali Awan, Marko Hinkkanen, Gianmario Pellegrino, Radu Bojoi

Research output: Contribution to journalReview ArticleScientificpeer-review

47 Citations (Scopus)
604 Downloads (Pure)

Abstract

In high-performance control of ac machines through variable frequency drives, the knowledge of machine parameters plays a decisive role. The accuracy with which machine parameters can be known is directly related to the time and effort put during the testing and commissioning process. In the ever-demanding industrial environments, the time spent on parameter identification translates into loss of production. To reduce commissioning times, research in this direction has focused on automatizing the identification procedure without loss of accuracy. This paper reviews different lines of research adopted over the past few decades for machine parameter identification. Parameter estimation of ac machines is considered because of their widespread applications from servomechanisms to traction to aviation. The surveyed works include self-commissioning schemes that have become an integral part and a salient feature of modern electric drives. This feature enables the drives to automatically identify machine parameters and tune the control loops.

Original languageEnglish
Article number8411491
Pages (from-to)3603-3614
Number of pages12
JournalIEEE Transactions on Power Electronics
Volume34
Issue number4
Early online date14 Jul 2018
DOIs
Publication statusPublished - Apr 2019
MoE publication typeA2 Review article in a scientific journal

Keywords

  • Control
  • Induction motor drives
  • Parameter estimation
  • Permanent magnet machines
  • Synchronous motor drives
  • Variable speed drives

Fingerprint

Dive into the research topics of 'Parameter Identification and Self-Commissioning in AC Motor Drives: A Technology Status Review'. Together they form a unique fingerprint.

Cite this