航空学报2025，Vol.46Issue(10)：40-93,54.DOI:10.7527/S1000-6893.2024.31194
生成式模型赋能飞行器技术应用研究进展与展望
Empowering aircraft technology applications with generative models:Research progress and prospects
摘要
Abstract
Generative models,which have achieved disruptive applications in the fields of natural language process-ing and computer vision,are becoming the cornerstone of digital intelligence technologies,serving as a crucial engine driving the future development of intelligent aircraft technology.This paper reviews the application progress of aircraft technologies empowered with generative models.Firstly,the development history of generative model architectures is summarized.Detailed introduction to the fundamental principles and improvement directions of variational autoencod-ers,generative adversarial networks,diffusion models,and Transformers is provided.Secondly,typical applications and transformative impacts of generative models in aircraft aerodynamics,trajectory prediction,and target detection are generalized,with a focus on the development trends in key technologies of aircraft aerodynamic design,including parameterized modeling,aerodynamic prediction model and inverse design.Intelligent implementation methods of real-time trajectory prediction,complete trajectory prediction,collaborative trajectory prediction and prediction error com-pensation are studied.From the perspective of improving existing target detection methods,the roles of generative models in multi-scale fusion,super-resolution enhancement and data enhancement are analyzed.Finally,we propose future research directions for aircraft technologies empowered with generative models from the perspectives of model method and application scenario expansion.Development suggestions are proposed for building interpretable general models and promoting vertical domain applications.关键词
生成式人工智能/飞行器技术/空气动力设计/航迹预测/目标检测Key words
generative artificial intelligence/aircraft technology/aerodynamic design/trajectory prediction/object detection分类
航空航天引用本文复制引用
陈树生,李佳伟,贾苜梁,林家豪,金世轶,高正红,王岳青,马志强,李铮,段辰龙..生成式模型赋能飞行器技术应用研究进展与展望[J].航空学报,2025,46(10):40-93,54.基金项目
国家自然科学基金(92371109) （92371109）
民机科研项目 （）
西北工业大学"1-0"重大工程科学问题项目(G2024KY0613) National Natural Science Foundation of China(92371109) （G2024KY0613）
Civil Aircraft Research Project （）
"1-0"Major Engineering Science Problem Project of Northwestern Polytechnical University(G2024KY0613) （G2024KY0613）
