Modeling and parametric design of permanent-magnet AC machines using computationally efficient finite-element analysis

Gennadi Y. Sizov, Dan M. Ionel, Nabeel A.O. Demerdash

Research output: Contribution to journalArticlepeer-review

136 Scopus citations

Abstract

Computationally efficient finite-element analysis (FEA) (CE-FEA) fully exploits the symmetries of electric and magnetic circuits of sine-wave current-regulated synchronous machines and yields substantial savings of computational efforts. Motor performance is evaluated through Fourier analysis and a minimum number of magnetostatic solutions. The major steadystate performance indices (average torque, ripple and cogging torque, back-electromotive-force waveforms, and core losses) are satisfactorily estimated as compared with the results of detailed time-stepping (transient) FEA. In this paper, the CE-FEA method is presented and applied to a parametric design study for an interior-permanent-magnet machine. Significant reduction of simulation times is achieved (approximately two orders of magnitude), permitting a comprehensive search of large design spaces for optimization purposes. In this case study, the influence of three design variables, namely, stator tooth width, pole arc, and slot opening, on three performance indices, namely, average torque, efficiency, and full-load torque ripple, is examined, and design trends are derived. One hundred candidate designs are simulated in less than 20 minutes on a state-of-the-art workstation.

Original languageEnglish
Article number5985528
Pages (from-to)2403-2413
Number of pages11
JournalIEEE Transactions on Industrial Electronics
Volume59
Issue number6
DOIs
StatePublished - Jun 2012

Bibliographical note

Funding Information:
Manuscript received December 20, 2010; revised March 31, 2011, May 12, 2011, and May 23, 2011; accepted May 23, 2011. Date of publication August 15, 2011; date of current version February 10, 2012. This work was supported in part by the National Science Foundation’s Grant Opportunities for Academic Liaison with Industry under Grant 1028348 and in part by A. O. Smith Corporation.

Keywords

  • Design optimization
  • Electromagnetic analysis
  • Electromagnetic modeling
  • Finite-element (FE) methods
  • Fourier series
  • PM motors
  • Permanent-magnet (PM) machines
  • Synchronous machines

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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