Journal of Bionic Engineering

, Volume 15, Issue 2, pp 379–396 | Cite as

Research on Gliding Aerodynamic Effect of Deformable Membrane Wing for a Robotic Flying Squirrel

  • Xuepeng Li
  • Wei Wang
  • Yifan Tang
  • Linqing Wang
  • Tao Bai
  • Fei Zhao
  • Yushen Bai
Article
  • 63 Downloads

Abstract

Inspired by creatures with membrane to obtain ultra-high gliding ability, this paper presents a robotic flying squirrel (a novel gliding robot) characterized as membrane wing and active membrane deformation. For deep understanding of membrane wing and gliding mechanism from a robotic system perspective, a simplified blocking aerodynamic model of the deformable membrane wing and CFD simulation are finished. In addition, a physical prototype is developed and wind tunnel experiments are carried out. The results show that the proposed membrane wing is able to support the gliding action of the robot. Meanwhile, factors including geometry characteristics, material property and wind speed are considered in the experiments to investigate the aerodynamic effects of the deformable membrane wing deeply. As a typical characteristic of robotic flying squirrel, deformation modes of the membrane wing not only affect the gliding ability, but also directly determine the effects of the posture adjustment. Moreover, different deformation modes of membrane wing are illustrated to explore the possible effects of active membrane deformation on the gliding performance. The results indicate that the deformation modes have a significant impact on posture adjustment, which reinforces the rationality of flying squirrel’s gliding strategy and provides valuable information on prototype optimal design and control strategy in the actual gliding process.

Keywords

robotic flying squirrel deformable membrane wing active membrane deformation gliding mechanism bionic robot 

Notes

Acknowledgment

This study is supported by the National Natural Science Foundation of China (No. 51475018), Beijing Natural Science Foundation (No. 3162018) and Innovation Practice Foundation of BUAA for Graduates (No. YCSJ-01-201709). The authors would like to express acknowledgement to Ministry-of-Education Key Laboratory of Fluid Mechanics from Beihang University for the D1 open–circuit low-speed wind tunnel experiments. Meanwhile, the authors especially would like to express acknowledgement to Prof. Tao Bai for his valuable suggestion.

References

  1. [1]
    Liu Y, Sun S, Wu X, Mei T. A wheeled wall-climbing robot with bio-inspired spine mechanisms. Journal of Bionic Engineering, 2015, 12, 17–28.CrossRefGoogle Scholar
  2. [2]
    Schmidt D, Berns K. Climbing robots for maintenance and inspections of vertical structures–A survey of design aspects and technologies. Robotics & Autonomous Systems, 2013, 61, 1288–1305.CrossRefGoogle Scholar
  3. [3]
    Lock R J, Burgess S C, Vaidyanathan R. Multi-modal locomotion: From animal to application. Bioinspiration & Biomimetics, 2014, 9, 011001.CrossRefGoogle Scholar
  4. [4]
    Woodward M A, Sitti M. MultiMo-Bat: A biologically inspired integrated jumping-gliding robot. International Journal of Robotics Research, 2014, 33, 1511–1529.CrossRefGoogle Scholar
  5. [5]
    Woodward M A, Sitti M. Design of a miniature integrated multi-modal jumping and gliding robot. IEEE/RSJ International Conference on Intelligent Robots and Systems, San Francisco, USA, 2011, 556–561.Google Scholar
  6. [6]
    Kovac M, Hraiz W, Fauria O, Zufferey J C. The EPFL jumpglider: A hybrid jumping and gliding robot with rigid or folding wings. IEEE International Conference on Robotics and Biomimetics, Karon Beach, Thailand, 2011, 1503–1508.Google Scholar
  7. [7]
    Vidyasagar A, Zufferey J C, Floreano D, Kovac M. Performance analysis of jump-gliding locomotion for miniature robotics. Bioinspiration & Biomimetics, 2015, 10, 025006.CrossRefGoogle Scholar
  8. [8]
    Peterson K, Birkmeyer P, Dudley R, Fearing R S. A wing-assisted running robot and implications for avian flight evolution. Bioinspiration & Biomimetics, 2011, 6, 046008.CrossRefGoogle Scholar
  9. [9]
    Dickson J D, Clark J E. Design of a Multimodal Climbing and Gliding Robotic Platform. IEEE/ASME Transactions on Mechatronics, 2013, 18, 494–505.CrossRefGoogle Scholar
  10. [10]
    Russell A P, Dijkstra L D. Patagial morphology of Draco volans (Reptilia: Agamidae) and the origin of glissant locomotion in flying dragons. Journal of Zoology, 2001, 253, 457–471.CrossRefGoogle Scholar
  11. [11]
    Mcguire J A, Dudley R. The cost of living large: Comparative gliding performance in flying lizards (Agamidae: Draco). American Naturalist, 2005, 166, 93–106.CrossRefGoogle Scholar
  12. [12]
    Bishop K L, Brim-Deforest W. Kinematics of turning maneuvers in the southern flying squirrel, Glaucomys volans. Journal of Experimental Zoology Part A Ecological Genetics & Physiology, 2008, 309, 225.CrossRefGoogle Scholar
  13. [13]
    Stafford B J, Thorington R W, Kawamichi T. Positional behavior of Japanese giant flying squirrels (Petaurista leucogenys). Journal of Mammalogy, 2014, 84, 263–271.CrossRefGoogle Scholar
  14. [14]
    Byrnes G, Lim N T L, Spence A J. Take-off and landing kinetics of a free-ranging gliding mammal, the Malayan colugo (Galeopterus variegatus). Proceedings of the Royal Society B: Biological Sciences, 2008, 275, 1007–1013.CrossRefGoogle Scholar
  15. [15]
    Socha J J, Jafari F, Munk Y, Bymes G. How animals glide: From trajectory to morphology. Canadian Journal of Zoology, 2015, 93, 901–924.CrossRefGoogle Scholar
  16. [16]
    Wu S L, Wang W, Wu D, Chen C, Zhu P H, Liu R. Analysis on GPLs dynamic gait for a gecko inspired climbing robot with a passive waist joint. IEEE International Conference on Robotics and Biomimetics (ROBIO), Bali, Indonesia, 2014, 943–948.Google Scholar
  17. [17]
    Wang W, Wu S L, Zhu P H, Liu R. Analysis on the dynamic climbing forces of a gecko inspired climbing robot based on GPL model. IEEE International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, 2015, 3314–3319.Google Scholar
  18. [18]
    Wang W, Li X P, Wu S L, Zhu P H, Zhao F. Effects of pendular waist on gecko’s climbing: Dynamic gait, analytical model and bio-inspired robot. Journal of Bionic Engineering, 2017, 14, 191–201.CrossRefGoogle Scholar
  19. [19]
    Zhu P H, Wang W, Wu S L, Li X P, Meng F G. Configuration and trajectory optimization for a gecko inspired climbing robot with a pendular waist. IEEE International Conference on Robotics and Biomimetics (ROBIO), Qingdao, China, 2017, 1870–1875.Google Scholar
  20. [20]
    Wei S, Ifju P, Viieru D. Membrane wing-based micro air vehicles. Applied Mechanics Reviews, 2005, 58, 283–301.CrossRefGoogle Scholar
  21. [21]
    Zheng Y, Wu Y, Tang H. Force measurements of flexible tandem wings in hovering and forward flights. Bioinspiration & Biomimetics, 2015, 10, 016021.CrossRefGoogle Scholar
  22. [22]
    Lian Y, Wei S, Viieru D, Zhang, B. Membrane wing aerodynamics for micro air vehicles. Progress in Aerospace Sciences, 2003, 39, 425–465.CrossRefGoogle Scholar
  23. [23]
    Song A, Breuer K. Dynamics of a compliant membrane as related to mammalian flight. AIAA Aerospace Sciences Meeting & Exhibit, Reno, Nevada, USA, 2007, 665.Google Scholar
  24. [24]
    Bishop K L. Aerodynamic force generation, performance and control of body orientation during gliding in sugar gliders (Petaurus breviceps). Journal of Experimental Biology, 2007, 210, 2593–2606.CrossRefGoogle Scholar
  25. [25]
    Bishop K L. The relationship between 3-D kinematics and gliding performance in the southern flying squirrel, Glaucomys volans. Journal of Experimental Biology, 2006, 209, 689–701.CrossRefGoogle Scholar
  26. [26]
    Combes S A, Daniel T L. Flexural stiffness in insect wings. II. Spatial distribution and dynamic wing bending. Journal of Experimental Biology, 2003, 206, 2989–2997.Google Scholar
  27. [27]
    Gopalakrishnan P, Tafti D K. Effect of wing flexibility on lift and thrust production in flapping flight. AIAA Journal, 2015, 48, 865–877.CrossRefGoogle Scholar
  28. [28]
    Petrovic I, Šajn V, Kosel T, Marzocca P. Aerodynamics and static aeroelastic behavior of low–Reynolds number deformable membrane wings. Journal of Aerospace Engineering, 2016, 29, 04015066.CrossRefGoogle Scholar
  29. [29]
    Null W, Shkarayev S. Effect of camber on the aerodynamics of adaptive-wing micro air vehicles. Journal of Aircraft, 2005, 42, 1537–1542.CrossRefGoogle Scholar
  30. [30]
    Li X P, Wang W, Wu S L, Zhu P H, Wang L Q. A research on air posture adjustment of flying squirrel inspired gliding robot. IEEE International Conference on Robotics and Biomimetics (ROBIO), Qingdao, China, 2017, 1858–1863.Google Scholar
  31. [31]
    Essner B, Richard L E. Locomotion, Morphology, and Habitat Use in Arboreal Squirrels (Rodentia: Sciuridea), Ohio University, Athens, Greek, 2003.Google Scholar
  32. [32]
    Torres G E, Mueller T J. Low aspect ratio aerodynamics at low Reynolds numbers. AIAA journal, 2004, 42, 865–873.CrossRefGoogle Scholar
  33. [33]
    Anderson Jr J. Fundamentals of Aerodynamics, McGraw-Hill, New York, USA, 1984.Google Scholar
  34. [34]
    Jagdale V, Stanford B, Ifju P, Patil A. Conceptual design of a bendable UAV wing considering aerodynamic and structural performance. The 50th AIAA Structures, Structural Dynamics, and Materials Conference, Palm Springs, CA, 2009.Google Scholar
  35. [35]
    Xiang J, Du J, Li D, Liu K. Aerodynamic performance of the locust wing in gliding mode at low reynolds number. Journal of Bionic Engineering, 2016, 13, 249–260.CrossRefGoogle Scholar
  36. [36]
    Chen D, Chen K, Zhang Z, Zhang B. Mechanism of locust air posture adjustment. Journal of Bionic Engineering, 2015, 12, 418–431.CrossRefGoogle Scholar
  37. [37]
    Karasek M, Hua A, Nan Y, Lalami M, Preumont A. Pitch and roll control mechanism for a hovering flapping wing MAV. International Journal of Micro Air Vehicles, 2014, 6, 253–264.CrossRefGoogle Scholar
  38. [38]
    Vidyasagar A, Zufferey J C, Floreano D, Kovac M. Performance analysis of jump-gliding locomotion for miniature robotics. Bioinspiration & Biomimetics, 2015, 10, 025006.CrossRefGoogle Scholar
  39. [39]
    Airfoil Tools: NACA 6412 Airfoil, http://airfoiltools.com/ airfoil/details?airfoil=naca6412-il.Google Scholar
  40. [40]
    Dickinson M H, Lehmann F O, Sane S P. Wing rotation and the aerodynamic basis of insect flight. Science, 1999, 284, 1954–1960.CrossRefGoogle Scholar

Copyright information

© Jilin University 2018

Authors and Affiliations

  • Xuepeng Li
    • 1
  • Wei Wang
    • 1
  • Yifan Tang
    • 2
  • Linqing Wang
    • 1
  • Tao Bai
    • 3
  • Fei Zhao
    • 1
  • Yushen Bai
    • 4
  1. 1.Robotics InstituteBeihang UniversityBeijingChina
  2. 2.School of Energy and Power EngineeringBeihang UniversityBeijingChina
  3. 3.Ministry-of-Education Key Laboratory of Fluid MechanicsBeihang UniversityBeijingChina
  4. 4.Department of Mechanical and Aerospace EngineeringUniversity of CaliforniaSan DiegoUSA

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