Effects of Bio-Inspired Wing Dihedral Variations on Dynamic Soaring Performance of Unmanned Aerial Vehicles

被引:0
|
作者
Zhang, Hang [1 ]
Zhang, Shenwei [1 ]
Xiang, Tao [1 ]
机构
[1] Changan Univ, Sch Construct Machinery, Xian 710064, Peoples R China
基金
中国国家自然科学基金;
关键词
bio-inspired wing; dihedral angle; dynamic soaring; trajectory optimization; UAV;
D O I
10.3390/drones8110623
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
On the basis of a self-developed albatross imitation unmanned aerial vehicle (UAV), three different dihedral angle configurations for the wing's mid and outer sections are explored: fixed at -50 degrees, fixed at -5 degrees, and varying arbitrarily between -50 degrees and -5 degrees. By solving the optimal loitering dynamic soaring trajectory optimization problem for each configuration, the effect of dihedral angle variation on the dynamic soaring performance of the bio-inspired wings is investigated. The results indicate that under all three configurations, the UAV achieves energy-neutral flight in specific wind field environments. Compared to the fixed dihedral angle of -5 degrees, the UAV demonstrated superior dynamic soaring performance when the dihedral angle was fixed at -50 degrees. When the dihedral angle varied dynamically, the UAV outperformed both fixed configurations across all relevant parameters. Specifically, compared to the fixed dihedral angle of -5 degrees, the total energy increased by 25.43%, and the minimum required wind gradient decreased by 15.56%. Similarly, compared to the fixed dihedral angle of -50 degrees, the total energy increased by 2.52%, and the minimum required wind gradient decreased by 2.07%. These findings suggest that the use of variable dihedral angle technology in bio-inspired UAV wings can significantly enhance dynamic soaring performance and provide theoretical support for the design of morphing wings with superior dynamic soaring capabilities.
引用
收藏
页数:17
相关论文
共 50 条
  • [41] A bio-inspired flight control strategy for a tail-sitter unmanned aerial vehicle
    Bin Zhu
    Jianzhong Zhu
    Qingwei Chen
    Science China Information Sciences, 2020, 63
  • [42] Assessment of a Bio-Inspired Artificial Wing for Micro Aerial Vehicle Based on Structural Bio-Mimetics
    Mishra, Sachin
    Kumar, Ajay
    Singh, Ojasvi
    Upadhyay, Anurag
    Antony, Roshan
    MATERIALS TODAY-PROCEEDINGS, 2015, 2 (4-5) : 2407 - 2413
  • [43] Bio-inspired cluster-based optimal target identification using multiple unmanned aerial vehicles in smart precision agriculture
    Salam, Abdu
    Javaid, Qaisar
    Ahmad, Masood
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2021, 17 (07)
  • [44] Flying Into the Wind: Insects and Bio-Inspired Micro-Air-Vehicles With a Wing-Stroke Dihedral Steer Passively Into Wind-Gusts
    Olejnik, Diana A.
    Muijres, Florian T.
    Karasek, Matej
    Honfi Camilo, Leonardo
    De Wagter, Christophe
    de Croon, Guido C. H. E.
    FRONTIERS IN ROBOTICS AND AI, 2022, 9
  • [45] A novel methodology for wing sizing of bio-inspired flapping wing micro air vehicles: theory and prototype
    Mostafa Hassanalian
    Abdessattar Abdelkefi
    Mingjun Wei
    Saeed Ziaei-Rad
    Acta Mechanica, 2017, 228 : 1097 - 1113
  • [46] A novel methodology for wing sizing of bio-inspired flapping wing micro air vehicles: theory and prototype
    Hassanalian, Mostafa
    Abdelkefi, Abdessattar
    Wei, Mingjun
    Ziaei-Rad, Saeed
    ACTA MECHANICA, 2017, 228 (03) : 1097 - 1113
  • [47] Aerodynamic performance of a bio-inspired flapping wing with local sweep morphing
    Wang, Chunyu
    Liu, Yi
    Xu, Duo
    Wang, Shizhao
    PHYSICS OF FLUIDS, 2022, 34 (05)
  • [48] A novel tracking control approach for unmanned underwater vehicles based on bio-inspired neurodynamics
    Bing Sun
    Daqi Zhu
    Feng Ding
    Simon X. Yang
    Journal of Marine Science and Technology, 2013, 18 : 63 - 74
  • [49] Mission based Optimum System Selector for Bio-inspired Unmanned Untethered Underwater Vehicles
    Haroutunian, Maryam
    Murphy, Alan J.
    2012 IEEE/OES AUTONOMOUS UNDERWATER VEHICLES (AUV), 2012,
  • [50] A novel tracking control approach for unmanned underwater vehicles based on bio-inspired neurodynamics
    Sun, Bing
    Zhu, Daqi
    Ding, Feng
    Yang, Simon X.
    JOURNAL OF MARINE SCIENCE AND TECHNOLOGY, 2013, 18 (01) : 63 - 74