DC-Signal Injection for Stator-Resistance Estimation in Symmetrical Six-Phase Induction Motors Under Open-Phase Fault

Alejandro G. Yepes, Mahmoud Abdel-Majeed, Hang Seng Che, Ayman S. Abdel-Khalik, Shehab Ahmed, Jesus Doval-Gandoy

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Multiphase machines are often chosen due to their enhanced fault tolerance. Six-phase ones are especially convenient because they may be fed by off-the-shelf three-phase converters. In particular, those with symmetrical windings offer superior postfault capabilities. On the other hand, estimation of the stator resistance is important for purposes such as thermal monitoring and preserving control performance. Resistance estimation by dc-signal injection provides low sensitivity to parameter deviations compared with other techniques. It has previously been shown that the dc signal can be added in the non-torque-producing (x-y) plane of a six-phase machine to avoid the torque disturbances that typically arise in three-phase machines. However, extending this method to the case of an open-phase fault (OPF) is not straightforward, because of the associated current restrictions. This paper addresses dc-signal injection in a symmetrical six-phase induction motor with an OPF. It is shown that, in contrast to healthy operation, the postfault dc injection should be carefully performed so that minimum copper loss, peak phase current and zero-sequence braking torque are achieved. A solution that attains optimum performance in all these aspects simultaneously is proposed. Adapted controller and resistance estimation are also presented. Experimental results confirm the theory.
Original languageEnglish (US)
Pages (from-to)1-10
Number of pages10
JournalIEEE Transactions on Industrial Electronics
StatePublished - Jul 26 2022

Bibliographical note

KAUST Repository Item: Exported on 2022-09-14
Acknowledgements: This work was supported in part by the Malaysian Ministry of Higher Education (MOHE) through Fundamental Research Grant Scheme FP090- 2020, in part by Science. Technology & Innovation Funding Authority (STDF) under grant (37066), in part by the Government of Galicia under the grants ED431F 2020/07 and GPC-ED431B 2020/03, in part by the Ministry of Science, Innovation and Universities under the Ramon y Cajal grant RYC2018-024407-I, and in part by the Spanish State Research Agency (AEI) under project PID2019-105612RB-I00/AEI/10.13039/501100011033.

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering


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