Modeling and Simulation of Switched Reluctance Motor with Internal Fault Capability

  • Mahmoud Hamouda*
  • , Fahad Al-Amyal
  • , Laszlo Szamel
  • *Corresponding author for this work

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

4 Scopus citations

Abstract

Switched reluctance motors (SRMs) are attaining increasing interest as they are powerful candidates for several industrial applications, especially electric vehicles (EVs). And since, SRMs cannot run directly from AC or DC supply. SRMs require a commutation process that includes a closed-loop current control accordingly to the rotor position. Internal faults in motor coils directly affect the control system and output power. This, in turn, causes overheating and lower efficiency. Besides, it causes fast degradation of motor life. Therefore, this paper presents a modeling and simulation for SRMs, including internal faults. The simulation of SRM is not a simple task to achieve. Hence, the involvement of internal faults increases the challenge. Besides, this paper gives a detailed analysis of machine performance with internal faults. The analysis gives a very good help in understanding the problem and seek for solutions.

Original languageEnglish
Title of host publicationCANDO-EPE 2022 - Proceedings
Subtitle of host publicationIEEE 5th International Conference and Workshop in Obuda on Electrical and Power Engineering
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages55-60
Number of pages6
ISBN (Electronic)9798350346190
DOIs
StatePublished - 2022
Externally publishedYes
Event5th IEEE International Conference and Workshop in Obuda on Electrical and Power Engineering, CANDO-EPE 2022 - Budapest, Hungary
Duration: 21 Nov 202222 Nov 2022

Publication series

NameCANDO-EPE 2022 - Proceedings: IEEE 5th International Conference and Workshop in Obuda on Electrical and Power Engineering

Conference

Conference5th IEEE International Conference and Workshop in Obuda on Electrical and Power Engineering, CANDO-EPE 2022
Country/TerritoryHungary
CityBudapest
Period21/11/2222/11/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Finite element analysis
  • Switched reluctance motor
  • internal faults.

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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