Numerical analysis of longitudinal stability for twin-boom UAVs with different tail configurations

Q3 Earth and Planetary Sciences
Xiaolu Wang, Yingyu Liu, Changning Chen, Xuancheng Meng, Mingqiang Luo
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引用次数: 0

Abstract

Stability is essential for the safety of Unmanned Aerial Vehicles (UAVs) and holds paramount importance in their design. This study focuses on the longitudinal stability of twin-boom UAVs with inverted V-tail and inverted U-tail configurations. Computational fluid dynamics (CFD) method and longitudinal perturbed equations of motion were employed to comprehensively analyze the stability and flight performance of these UAVs. Results indicate that the inverted U-tail configuration exhibits 23.6% higher longitudinal static stability than the inverted V-tail under small perturbations. In Phugoid mode, the inverted U-tail UAV also demonstrates superior performance. These findings provide valuable insights for the design and optimization of UAV tail configurations.

Abstract Image

Abstract Image

不同尾翼构型双臂无人机纵向稳定性数值分析
稳定性对无人机的安全至关重要,在无人机的设计中占有至关重要的地位。本文主要研究了倒v尾和倒u尾双臂无人机的纵向稳定性问题。采用计算流体力学(CFD)方法和纵向摄动运动方程对无人机的稳定性和飞行性能进行了综合分析。结果表明,在小扰动下,u型倒立尾的纵向静稳定性比v型倒立尾高23.6%。在Phugoid模式下,倒u型尾翼无人机也表现出优越的性能。这些发现为无人机尾翼构型的设计和优化提供了有价值的见解。
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来源期刊
Aerospace Systems
Aerospace Systems Social Sciences-Social Sciences (miscellaneous)
CiteScore
1.80
自引率
0.00%
发文量
53
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
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