• DocumentCode
    69759
  • Title

    Hierarchically Partitioned Finite-Element Analysis of Rotating Electrical Machinery

  • Author

    Cole, John H. ; Al-Othman, Maryam A. ; Wasynczuk, Oleg

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • Volume
    30
  • Issue
    1
  • fYear
    2015
  • fDate
    Mar-15
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    A new method of hierarchically partitioning the numerical calculations associated with the finite-element analysis of rotating electrical machinery is set forth. In this method, the device is partitioned geometrically and hierarchically into its constituent subsystems. Each Newton-Raphson iteration in a magnetically nonlinear device involves the hierarchical solution of relatively compact linear algebraic equations. This is contrasted with conventional approaches involving the formation or updating and solution of a single but large-dimensional sparse equation. In addition to an improvement in the computational efficiency, this approach facilitates efficient management of rotation. The proposed approach is demonstrated to require less than one-fourth the computation time, while producing identical results to those of a conventional formulation when solving for cogging torque and back electromotive force (back-EMF) of a permanent-magnet synchronous machine. The numerical results are also shown to be in agreement with the measured data.
  • Keywords
    Newton-Raphson method; finite element analysis; permanent magnet machines; sparse matrices; synchronous machines; torque; Newton-Raphson iteration; back electromotive force; cogging torque; finite-element analysis; hierarchically partitioning; large-dimensional sparse equation; linear algebraic equations; magnetically nonlinear device; permanent-magnet synchronous machine; rotating electrical machinery; rotation management; Equations; Jacobian matrices; Mathematical model; Rotors; Stators; Vectors; Domain decomposition; electric machinery; finite element analysis (FEA); geometric partitioning; subregion method;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/TEC.2014.2326301
  • Filename
    6843949