{"title":"Parametric aerodynamic characterization of tail geometry variations in fixed-wing UAVs","authors":"Ali J. Dawood Al-Khafaji, Luttfi A. Al-Haddad","doi":"10.1007/s42401-025-00406-5","DOIUrl":null,"url":null,"abstract":"<div><p>The evolution of unmanned aerial vehicle (UAV) systems continues to accelerate due to the integration of advanced simulation environments that enable rapid design iteration and aerodynamic optimization. This study presents a parametric investigation into the influence of empennage configuration—specifically cant tail angle and vertical tailplane height—on the aerodynamic performance of fixed-wing UAVs. A total of thirty-six full-scale three-dimensional UAV models were developed using SOLIDWORKS, each utilizing the SD8020 airfoil for both the main and tail wings. The models incorporate combinations of three cant angles (30°, 45°, 60°), three tail heights (1.0 m, 1.5 m, 2.0 m), and four angles of attack (2°, 3°, 4°, 5°). High-fidelity aerodynamic analysis was conducted using steady-state Reynolds-averaged Navier–Stokes (RANS) simulations with the SST k–ω turbulence model in ANSYS Fluent. The results reveal that the configuration with a cant angle of 60°, tail height of 1.0 m, and angle of attack of 4° yielded the highest aerodynamic efficiency, exhibiting a 39% improvement in lift-to-drag ratio compared to the lowest-performing configuration. The findings provide actionable insight for UAV tail architecture design, supporting more efficient performance-driven development of autonomous aerial platforms.</p></div>","PeriodicalId":36309,"journal":{"name":"Aerospace Systems","volume":"9 1","pages":"89 - 104"},"PeriodicalIF":0.0000,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aerospace Systems","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s42401-025-00406-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Earth and Planetary Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
The evolution of unmanned aerial vehicle (UAV) systems continues to accelerate due to the integration of advanced simulation environments that enable rapid design iteration and aerodynamic optimization. This study presents a parametric investigation into the influence of empennage configuration—specifically cant tail angle and vertical tailplane height—on the aerodynamic performance of fixed-wing UAVs. A total of thirty-six full-scale three-dimensional UAV models were developed using SOLIDWORKS, each utilizing the SD8020 airfoil for both the main and tail wings. The models incorporate combinations of three cant angles (30°, 45°, 60°), three tail heights (1.0 m, 1.5 m, 2.0 m), and four angles of attack (2°, 3°, 4°, 5°). High-fidelity aerodynamic analysis was conducted using steady-state Reynolds-averaged Navier–Stokes (RANS) simulations with the SST k–ω turbulence model in ANSYS Fluent. The results reveal that the configuration with a cant angle of 60°, tail height of 1.0 m, and angle of attack of 4° yielded the highest aerodynamic efficiency, exhibiting a 39% improvement in lift-to-drag ratio compared to the lowest-performing configuration. The findings provide actionable insight for UAV tail architecture design, supporting more efficient performance-driven development of autonomous aerial platforms.
期刊介绍:
Aerospace Systems provides an international, peer-reviewed forum which focuses on system-level research and development regarding aeronautics and astronautics. The journal emphasizes the unique role and increasing importance of informatics on aerospace. It fills a gap in current publishing coverage from outer space vehicles to atmospheric vehicles by highlighting interdisciplinary science, technology and engineering.
Potential topics include, but are not limited to:
Trans-space vehicle systems design and integration
Air vehicle systems
Space vehicle systems
Near-space vehicle systems
Aerospace robotics and unmanned system
Communication, navigation and surveillance
Aerodynamics and aircraft design
Dynamics and control
Aerospace propulsion
Avionics system
Opto-electronic system
Air traffic management
Earth observation
Deep space exploration
Bionic micro-aircraft/spacecraft
Intelligent sensing and Information fusion