Optimal Shaping of Non-Conventional Permanent Magnet Geometries for Synchronous Motors via Surrogate Modeling and Multi-Objective Optimization Approach
A methodology is proposed for optimal shaping of permanent magnets with non-conventional and complex geometries, used in synchronous motors. The algorithm includes artificial neural network-based surrogate model and multi-objective search based optimization method that will lead to Pareto front solu...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Iran University of Science and Technology
2020-03-01
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| シリーズ: | Iranian Journal of Electrical and Electronic Engineering |
| 主題: | |
| オンライン･アクセス: | http://ijeee.iust.ac.ir/article-1-1366-en.html |
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