アジア地域を中心とした構造および複合領域の最適設計に関する国際会議「ACSMO2024」にて、弊社社員が発表します。
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2024/5/20 17:20-17:40
1D2-5 [D20317]
“Mixed-variable IPM Motor Design Optimization Using an RBF Surrogate Model”
When we consider the large design space of IPM motors, discrete integer design variables appear such as the number of slots and coil pitch in addition to the continuous design variables such as dimensions.
To solve the mixed-variable multi-objective optimization problems in designing IPM motors, we proposed a combination of surrogate optimization and an ADMM-based approach.
We confirmed that the proposed method tends to obtain better objective function values with fewer sampling points thanks to accurate mixed-variable solutions compared to the simple rounding-off method.
*Tatsuya Asanuma, Yoshihiro Kanno (Japan)

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