Optimal design of interior PM synchronous machines using randomly guided mesh adaptive direct search algorithm

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Abstract

Interior PM Synchronous Machines (IPMSM) has characteristic of nonlinear magnetic saturation and many local optimal, have been focused on reducing computation time [1]-[2]. Hence, randomly guided MADS (Mesh Adaptive Direct Search) is newly implemented to reducing the excessive computation time. Optimization capability of the proposed randomly guided MADS is validated through two benchmark functions. In particular, it has been forwarded to optimal design of IPMSM for maximizing Maximum Torque per Ampere (MTPA) based on FEA (Finite Element Analysis).

Original languageEnglish
Title of host publication2012 6th International Conference on Electromagnetic Field Problems and Applications, ICEF'2012
DOIs
StatePublished - 2012
Event2012 6th International Conference on Electromagnetic Field Problems and Applications, ICEF'2012 - Dalian, China
Duration: 19 Jun 201221 Jun 2012

Publication series

Name2012 6th International Conference on Electromagnetic Field Problems and Applications, ICEF'2012

Conference

Conference2012 6th International Conference on Electromagnetic Field Problems and Applications, ICEF'2012
Country/TerritoryChina
CityDalian
Period19/06/1221/06/12

Keywords

  • component
  • Interior Permanent Magnet Synchronous Machine (IPMSM)
  • Maximum Torque Per Ampere (MTPA)
  • Optimal Design
  • Randomly Guided Mesh Adaptive Direct Search Algorithm (rgMADS)

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