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Optimal Design of Interior PM Synchronous Machines Using Randomly Guided Mesh Adaptive Direct Search Algorithm

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4 Author(s)
Dongsu Lee ; Sch. of Electron. & Electr. Eng., Sungkyunkwan Univ., Suwon, South Korea ; Kyung-Won Jeon ; Sang-Yong Jung ; Jong-Wook Kim

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).

Published in:

Electromagnetic Field Problems and Applications (ICEF), 2012 Sixth International Conference on

Date of Conference:

19-21 June 2012

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