Communication Dans Un Congrès Année : 2023

Optimization on frequency constraints with FFT using Automatic Differentiation on hybrid ODE applications

Résumé

Optimizing electrical systems represented by ODE and events, using their frequency spectrum is an important issue for designers. This paper presents a methodology to answer to this issue. Using gradient-based optimization algorithm, the paper proposes to simulate the electrical system according time, and then to compute its frequency spectrum. To optimize it by SQP, Automatic Differentiation is mainly used to compute the model gradients.

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hal-04217833 , version 1 (26-09-2023)

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  • HAL Id : hal-04217833 , version 1

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Lucas Agobert, Benoit Delinchant, Laurent Gerbaud. Optimization on frequency constraints with FFT using Automatic Differentiation on hybrid ODE applications. Optimization and Inverse Problems on Electromagnetism (OIPE), Sep 2023, Graz, Austria. ⟨hal-04217833⟩
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