使用引力搜索算法建模和优化改造的铁电磁推进系统,使用引力搜索算法
M Mohamed Magdy1, Haitham El-Hussieny2, Ahmed M R Fath El-Bab2
1Physics and Mathematics Engineering Department, Faculty of Engineering, Ain Shams University, Cairo, 11535, Egypt. engmohamed.abdo92@eng.asu.edu.eg.
Scientific reports
|October 24, 2024
概括
这项研究引入了带有层状铁的增强型电磁发射器设计,显著提高了效率并减少了吸回力. 使用引力搜索算法 (GSA) 的优化实现了20%的总效率.
科学领域:
- 电磁主义 电磁主义
- 机械工程 机械工程
- 航空航天工程 航空航天工程
背景情况:
- 电磁发射器 (EML) 在国防,太空探索和高速运输方面提供了有前途的应用.
- 目前的EML设计需要进一步优化效率和性能.
- 关键的挑战包括管理磁电路的电阻和电感.
研究的目的:
- 提出一种新的EML设计,采用层状铁来增强磁流并减少电阻.
- 研究铁对电感和效率的影响.
- 使用人工智能优化EML参数,并通过实验验验证设计.
主要方法:
- 开发了一种新的EML设计,其中包括围绕线圈的层状铁.
- 数学建模使用 MATLAB Simulink 进行,并通过实验验证.
- 引力搜索算法 (GSA) 用于参数优化 (转,电容,电压).
- 绝缘门双极晶体管 (IGBT) 用于快速线圈切换,以减轻吸回力.
主要成果:
- 与没有铁的设计相比,铁的EML表现出两倍的峰值电感和65%的初始电感增加.
- 修改后的设计实现了17.5%的效率,比基线提高了60%.
- 针对GSA优化的系统进一步提高了15%的效率,达到20%的效率.
结论:
- 层铁设计显著提高了EML电感和效率.
- 由人工智能驱动的优化,加上新的设计,最大限度地提高了EML的性能.
- 这种优化的EML技术具有太空和运输应用中具有成本效益推进的潜力.
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