张卓然1,陈旭1,许彦武2,崔江1,张健1,吴承岳1,于立1
CJA
收稿日期:2026-04-02
修回日期:2026-07-13
出版日期:2026-07-16
发布日期:2026-07-16
通讯作者:
张卓然
基金资助:
Received:2026-04-02
Revised:2026-07-13
Online:2026-07-16
Published:2026-07-16
Contact:
Zhuoran Zhang
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。
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, doi: 10.7527/S1000-6893.2026.33676.
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