Parameter Estimation of Asymmetrical Six-Phase Induction Machines Using Modified Standard Tests

Hang Seng Che, Ayman Abdel-Khalik, Obrad Dordevic, Emil Levi

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

In multiphase machine drives, accuracy of the estimated machine parameters is crucial for effective performance prediction and/or control. While a great amount of work has been done on parameter estimation for three-phase machines, corresponding discussions for six-phase machine remain scarce. It has been proven in the literature that the effect of mutual leakage inductance between different winding layers has a significant impact on the equivalent machine reactance, which challenges the standard separation method of stator and rotor leakage inductances from the measured locked-rotor impedance. In this paper, parameter identification of an asymmetrical six-phase induction machine using six-phase no-load and locked-rotor tests is discussed. A zero-sequence test using an improved equivalent circuit is proposed to improve the accuracy of the estimated parameters. The concept is verified using experimental results obtained from a low-power prototype asymmetrical six-phase machine.

Original languageEnglish
Article number7870623
Pages (from-to)6075-6085
Number of pages11
JournalIEEE Transactions on Industrial Electronics
Volume64
Issue number8
DOIs
Publication statusPublished - 1 Aug 2017

Fingerprint

Parameter estimation
Rotors
Inductance
Equivalent circuits
Stators
Identification (control systems)

Keywords

  • Induction machines
  • parameter estimation
  • six-phase machines
  • zero-sequence test

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Parameter Estimation of Asymmetrical Six-Phase Induction Machines Using Modified Standard Tests. / Che, Hang Seng; Abdel-Khalik, Ayman; Dordevic, Obrad; Levi, Emil.

In: IEEE Transactions on Industrial Electronics, Vol. 64, No. 8, 7870623, 01.08.2017, p. 6075-6085.

Research output: Contribution to journalArticle

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