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
Key words
Unmanned Air Vehicle/Aerodynamic/Radar Stealth/Proxy Model/Comprehensive Op-tization/Optimal Design
维普
万方数据