人工智能驱动的航空双凸极高压直流电机建模与控制方法-AI+空天科学

  • 张卓然 ,
  • 陈旭 ,
  • 许彦武 ,
  • 崔江 ,
  • 张健 ,
  • 吴承岳 ,
  • 于立
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  • 1. 南京航空航天大学
    2. 南京师范大学

收稿日期: 2026-04-02

  修回日期: 2026-07-13

  网络出版日期: 2026-07-16

基金资助

国家自然科学基金重点项目

摘要

双凸极高压直流电机因结构坚固可靠与容错能力强等优势,作为航空高压直流供电系统起动发电机具有重要应用价值,但其在优化设计、非线性建模与高性能控制等方面仍面临挑战。人工智能技术通过智能优化设计、数据驱动建模及智能控制,为解决上述问题提供了重要技术路径。首先分析了双凸极高压直流电机的控制参数耦合特性;其次,系统梳理了人工智能方法在电机系统设计、建模、控制与故障诊断方面的研究进展,重点探讨了其在双凸极高压直流电机系统的多目标优化设计、快速精确建模与控制参数寻优等方面的应用方法。结合控制参数优化与故障诊断实例,验证了人工智能方法在提升转矩预测精度、优化控制参数和提高复杂故障识别准确率方面的应用潜力。

本文引用格式

张卓然 , 陈旭 , 许彦武 , 崔江 , 张健 , 吴承岳 , 于立 . 人工智能驱动的航空双凸极高压直流电机建模与控制方法-AI+空天科学[J]. 航空学报, 0 : 1 -0 . DOI: 10.7527/S1000-6893.2026.33676

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