• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Compumag >Hierarchical Surrogate-Based Optimization Strategy for Optimal Design of Switched Reluctance Motors
【24h】

Hierarchical Surrogate-Based Optimization Strategy for Optimal Design of Switched Reluctance Motors

机译：基于分层代理的开关磁阻电机优化设计优化策略

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Electrical machines can be realistically analyzed using numerical methods. However, direct coupling of such tools with search algorithms is computational expensive. Surrogate models are therefore invaluable to reduce the computational cost. In this paper, a hierarchical surrogate-based optimization (SBO) strategy is proposed and applied for optimal design of switched reluctance motors (SRMs). A trust region approach decomposes the problem into optimization subproblems specific to each trust region. The surrogates are applied in a sequence of optimization steps, with the high-fidelity models used to correct the surrogates during the optimization process.
机译：可以使用数值方法对电机进行实际分析。然而，这种工具与搜索算法的直接耦合在计算上是昂贵的。因此，代理模型对于减少计算成本非常宝贵。本文提出了一种基于分层代理的优化（SBO）策略，并将其应用于开关磁阻电机（SRM）的优化设计。信任区域方法将问题分解为特定于每个信任区域的优化子问题。替代方案通过一系列优化步骤应用，高保真模型用于在优化过程中校正替代方案。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号