Multi-objective optimization with wide-range shape parametric design space for IPM motor

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Norio Tomiya, Aisin AW Co., Ltd.


In Motor Design Optimization out of combinations from a wide-range of parameters, the most critical problem is evasion of the error such as intersection of each model line entity, because of each parameter depended mutually.
It is known as Input Parameter’s Constraint Conditions Problem in actual Optimization.
This paper presents that it is enabled multi-objective optimization for IPM Motor from among a wide-range of design space and complicated combinations of shape design parameters with evading above problem.

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