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Hokkaido University Collection of Scholarly and Academic Papers >
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Fast Topology Optimization for PM Motors Using Variational Autoencoder and Neural Networks With Dropout
| Title: | Fast Topology Optimization for PM Motors Using Variational Autoencoder and Neural Networks With Dropout |
| Authors: | Sato, Hayaho Browse this author | | Igarashi, Hajime Browse this author →KAKEN DB |
| Keywords: | Design optimization | | neural networks (NNs) | | permanent magnet (PM) motors |
| Issue Date: | May-2023 |
| Publisher: | IEEE (Institute of Electrical and Electronics Engineers) |
| Journal Title: | IEEE transactions on magnetics |
| Volume: | 59 |
| Issue: | 5 |
| Start Page: | 8200904 |
| Publisher DOI: | 10.1109/TMAG.2023.3242288 |
| Abstract: | This study proposes a novel topology optimization (TO) method for permanent magnet (PM) motors based on a variational autoencoder (VAE) and a neural network (NN). The VAE is trained to embed various shapes generated from the TO into the latent space. The NN is trained to predict the characteristics of the PM motor from its latent representation derived using the VAE. After training, TO is performed in the latent space based on the prediction using the NN. We adopt the Monte Carlo dropout to maintain prediction reliability using the NN during optimization, where prediction deviation is evaluated and used to eliminate unreliable solutions. The proposed method yields Pareto solutions within 80 s in a single-thread CPU machine, which is considerably faster than numerical analysis-based optimization, such as finite-element analysis. |
| Rights: | © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Type: | article (author version) |
| URI: | http://hdl.handle.net/2115/90098 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 五十嵐 一
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