无人机气动隐身联合优化的关键技术与研究进展  

The Key Technologies and Research Progress about Aerodynamic and Stealth Optimization of Unmanned Air Vehicle

作　　者：胡德昭 贾高伟 邵帅 郭正[1] 侯中喜[1,2] HU Dezhao;JIA Gaowei;SHAO Shuai;GUO Zheng;HOU Zhongxi(College of Aerospace Science and Engineering,National University of Defense Technology,Changsha 410073,China;Test Center,National University of Defense Technology,Xi’an 710106,China)

机构地区：[1]国防科技大学空天科学学院,长沙410073 [2]国防科技大学试验训练基地,西安710106

出　　处：《无人系统技术》2024年第4期1-15,共15页Unmanned Systems Technology

基　　金：湖南省科技创新计划(2021RC3077)。

摘　　要：对无人机气动与隐身联合优化进行了综合评述,并对未来研究进行了展望。首先阐述了目前隐身无人机在复杂飞行环境下的性能挑战,指出了传统设计方法的局限性;随后以无人机气动与隐身联合优化设计为研究对象,将联合优化设计分为基于工程算法的直接优化、基于代理模型的优化以及基于改善流程的优化等三类技术路线,总结了各个优化路线的基本原理、发展历程和最新研究进展,并针对气动隐身联合优化中的共性技术如参数化建模、网格划分等进行了总结与阐述;最后给出了无人机气动隐身联合优化的发展趋势分析。综述表明,无人机的气动与隐身联合优化还需持续开展研究,需重点关注开展基于知识提取-指标驱动的隐身无人机总体设计、利用人工智能方法提升气动与隐身性能评估效益、开展气动与电磁计算网格的一致性应用和针对现有无人机开展隐身强化设计与实现等方面。A comprehensive review of the aerodynamic and stealth optimization of unmanned aerial vehicles(UAV)is presented,alongside an outlook on future research directions.Initially,the performance challenges faced by stealth UAVs in complex flight environments are outlined,highlighting the limitations of conventional design methodologies.Subsequently,focusing on the joint optimization design of UAV aerodynamics and stealth characteristics,three categories of technical approaches are delineated:direct optimization based on engineering algorithms,optimization utilizing surrogate models,and optimization through improved processes.The fundamental principles,evolution,and state-of-the-art advancements of each optimization pathway are summarized.Specific attention is given to common technologies integral to aerodynamic and stealth co-optimization,such as parametric modeling and grid generation.The review concludes with an analysis of the developmental trends in the joint optimization of UAV aerodynamics and stealth.The review underscores the necessity for sustained research in the integrated optimization of UAV aerodynamics and stealth.Particular emphasis should be placed on knowledge-extraction and metric-driven overall design for stealth UAVs,the utilization of artificial intelligence methods to improve the efficacy of aerodynamic and stealth performance assessments,the consistent application of grids in aerodynamic and electromagnetic computations,and the implementation of stealth enhancement designs for existing UAVs.These areas represent critical frontiers for advancing the field of UAV aerodynamic and stealth optimization.

关 键 词：无人机 气动 雷达隐身 代理模型 联合优化 优化设计 

分 类 号：V221.8[航空宇航科学与技术—飞行器设计]