Optimum Design of Line-Start Permanent-Magnet Synchronous Motor Using Mathematical Method

Mousalreza Faramarzi Palangar, Amin Mahmoudi, Solmaz Kahourzade, Wen L. Soong

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

14 Citations (Scopus)

Abstract

This paper presents an analytical method to design an optimum Line-Start Permanent-Magnet Synchronous Motor (LSPMSM). An initial LSPMSM (L0) is designed by combining an induction motor (IM0) and an interior permanent magnet (IPM0) motor. The IM0 and IPM0 are designed analytically from sizing equations. The optimum LSPMSM is developed from IM cage optimization for starting torque and permanent magnet (PM) optimization of the IPM for efficiency. By combining the rotors of the optimised IM and IPM, an optimum hybrid rotor is obtained for the LSPMSM. The optimized motor has better performance in the transient and steady state compared to L0. The proposed optimisation method based on a mathematical model is implemented using a genetic algorithm (GA). An optimization case study is implemented using both the proposed mathematical method and FEM. The optimization results indicate that the optimum design found using the proposed mathematical method is obtained more rapidly and has comparable performance to that found using FEM optimization.

Original languageEnglish
Title of host publicationECCE 2020 - IEEE Energy Conversion Congress and Exposition
PublisherInstitute of Electrical and Electronics Engineers
Pages2064-2071
Number of pages8
ISBN (Electronic)9781728158266, 9781728158273
DOIs
Publication statusPublished - 11 Oct 2020
Event12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 - Virtual, Detroit, United States
Duration: 11 Oct 202015 Oct 2020
Conference number: 12

Publication series

NameECCE 2020 - IEEE Energy Conversion Congress and Exposition

Conference

Conference12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020
Country/TerritoryUnited States
CityVirtual, Detroit
Period11/10/2015/10/20

Keywords

  • FEM
  • Genetic Algorithms
  • Induction Motor
  • Interior Permanent-Magnet Motor
  • Line-Start Permanent-Magnet Synchronous Motor
  • Mathematical Model
  • Optimization
  • Sizing Equations
  • Steady-state
  • Transient

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