journal article·2020-09

A Simplified Model, Dynamic Analysis and Force Estimation for a Large-scale Orinthopter in Forward Flight Based on Flight Data

Mohammad Ali Amini, Moosa Ayati, Mohammad Mahjoob

Journal of Bionic Engineering· Volume 17· Issue 5
Publisher page

Abstract

Similarities and differences of a large-scale flapping-wing robot with fixed-wing UAVs in equations of motion, trim curves, and aerodynamic forces in forward flight are discussed in this paper and a simplified model for flapping flight is presented. Due to the high Wing to Total Weight (WTW) ratio of large-scale ornithopters, simple rigid body dynamics is not accurate enough for flight dynamics modeling. On the other hand, the multi-body dynamics associated with flapping gives little insight into the behavior of the resulting model due to complexity of equations. It is also difficult to design proper controllers for such complicated models. In this paper, the effects of different terms of multi-body equations of ornithopter on the estimated aerodynamic forces are studied via experimental flight data. A simpler but yet accurate set of equations is obtained by removing less effective terms from original relations. The presented model is in the form of normal aircraft equations plus some additional terms which can be used in different control and estimation processes. In addition, trim conditions of forward flight are extracted using several flight tests, and corresponding periodic behavior of states and forces are studied. These studies are applicable for identifying time-periodic models.
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Research context

OpenAlex topics: Biomimetic flight and propulsion mechanisms · Aerospace and Aviation Technology · Aerospace Engineering and Energy Systems

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References (44)

Show source-provided references
1. Grant R G. Flight: The Complete History of Aviation, 2nd ed, DK Publishing, New York, USA, 2017.
2. Altenbuchner C, Hubbard J E. Modern Flexible Multi-Body Dynamics Modeling Methodology for Flapping Wing Vehicles, Academic Press, London, UK, 2018.
3. Chen K, Liu Q P, Liao G H, Yang Y, Ren L Q, Yang H X, Chen X. The sound suppression characteristics of wing feather of owl (Bubo bubo). Journal of Bionic Engineering, 2012, 9, 192–199.10.1016/S1672-6529(11)60109-1 ↗
4. Kim H Y, Le J S, Choi H L, Han J H, Lee J S. Autonomous formation flight of multiple flapping-wing flying vehicles using motion capture system. Aerospace Science and Technology, 2014, 39, 596–604.10.1016/j.ast.2014.07.004 ↗
5. Nguyen A T, Han J H. Wing flexibility effects on the flight performance of an insect-like flapping-wing micro-air vehicle. Aerospace Science and Technology, 2018, 79, 468–481.10.1016/j.ast.2018.06.007 ↗
6. Chen S, Li H, Guo S J, Tong M B, Ji B. Unsteady aerodynamic model of flexible flapping wing. Aerospace Science and Technology, 2018, 80, 354–367.10.1016/j.ast.2018.07.017 ↗
7. Chirarattananon P, Chen Y F, Helbling E F, Ma K Y, Cheng R, Wood R J. Dynamics and flight control of a flapping-wing robotic insect in the presence of wind gusts. Interface Focus, 2016, 7, 20160080.10.1098/rsfs.2016.0080 ↗
8. Chirarattananon P, Ma K Y, Wood R J. Adaptive control of a millimeter-scale flapping-wing robot. Bioinspiration & Biomimetics, 2014, 9, 025004.10.1088/1748-3182/9/2/025004 ↗
9. Deng X Y, Schenato L, Wu W C, Sastry S S. Flapping flight for biomimetic robotic insects: Part I — System modeling. IEEE Transactions on Robotics, 2006, 22, 776–788.10.1109/TRO.2006.875480 ↗
10. Deng X Y, Schenato L, Sastry S S. Flapping flight for biomimetic robotic insects: Part II — Flight control design. IEEE Transactions on Robotics, 2006, 22, 789–803.10.1109/TRO.2006.875483 ↗
11. Tran X T, Oh H, Kim I R, Kim S. Attitude stabilization of flapping micro-air vehicles via an observer-based sliding mode control method. Aerospace Science and Technology, 2018, 76, 386–393.10.1016/j.ast.2018.01.045 ↗
12. Hsiao F Y, Yang L J, Lin S H, Chen C L, Shen J F. Autopilots for ultra lightweight robotic birds: Automatic altitude control and system integration of a sub-10 g weight flapping-wing micro air vehicle. IEEE Control Systems Magazine, 2012, 32, 35–48.10.1109/MCS.2012.2205475 ↗
13. Hassan A M, Taha H E. Differential-geometric-control formulation of flapping flight multi-body dynamics. Journal of Nonlinear Science, 2019, 29, 1379–1417.10.1007/s00332-018-9520-8 ↗
14. Hussein A A, Seleit A E, Taha H E, Hajj M R. Optimal transition of flapping wing micro-air vehicles from hovering to forward flight. Aerospace Science and Technology, 2019, 90, 246–263.10.1016/j.ast.2019.04.043 ↗
15. Lee J S, Kim J K, Han J H, Ellington C P. Periodic tail motion linked to wing motion affects the longitudinal stability of ornithopter flight. Journal of Bionic Engineering, 2012, 9, 18–28.10.1016/S1672-6529(11)60093-0 ↗
16. Grauer J, Ulrich E, Hubbard J E, Pines D, Humbert J S. Testing and system identification of an ornithopter in longitudinal flight. Journal of Aircraft, 2011, 48, 660–667.10.2514/1.C031208 ↗
17. Grauer J A, Hubbard J E. Multibody model of an ornithopter. Journal of Guidance, Control, and Dynamics, 2009, 32, 1675–1679.10.2514/1.43177 ↗
18. Grauer J. Modeling and System Identification of an Ornithopter Flight Dynamics Model. PhD Thesis, University of Maryland, College Park, USA, 2012.
19. Ramezani A, Chung S J, Hutchinson S. A biomimetic robotic platform to study flight specializations of bats. Science Robotics, 2017, 2, eaa12505.10.1126/scirobotics.aal2505 ↗
20. Caetano J V, Weehuizen M B, de Visser C C, de Croon G C H E, Mulder M. Rigid-body kinematics versus flapping kinematics of a flapping wing micro air vehicle. Journal of Guidance, Control, and Dynamics, 2015, 38, 2257–2269.10.2514/1.G000923 ↗
21. Jennings A, Mayhew M, Black J. Video measurements of instantaneous forces of flapping wing vehicles. Mechanical Systems and Signal Processing, 2015, 64–65, 325–336.10.1016/j.ymssp.2015.04.020 ↗
22. Lee J S, Han J H. Indoor flight testing and controller design of bioinspired ornithopter. Proceedings of the 12th International Conference IAS-12, Jeju Island, Korea, 2013, 825–834.10.1007/978-3-642-33926-4_79 ↗
23. Maniar G, Randall R, Shkarayev S, Goff Z, Beran P. Kinematics of free-flight ornithopters. 50th AIAA Aerospace Sciences Meeting, Nashville, USA, 2012, 6–12.10.2514/6.2012-666 ↗
24. Gim H, Lee B, Huh J, Kim S, Suk J. Longitudinal system identification of an avian-type UAV considering characteristics of actuator. International Journal of Aeronautical and Space Sciences, 2018, 19, 1017–1026.10.1007/s42405-018-0084-5 ↗
25. Chand A N, Kawanishi M, Narikiyo T. Parameter estimation for the pitching dynamics of a flapping-wing flying robot. IEEE International Conference on Advanced Intelligent Mechatronics (AIM), Busan, South Korea, 2015, 1552–1558.10.1109/AIM.2015.7222763 ↗
26. Armanini S F, Karásek M, de Visser C C. Global linear parameter-varying modeling of flapping-wing dynamics using flight data. Journal of Guidance, Control, and Dynamics, 2018, 41, 2338–2360.10.2514/1.G003505 ↗
27. Armanini S F, de Visser C C, de Croon G C H E, Mulder M. Time-varying model identification of flapping-wing vehicle dynamics using flight data. Journal of Guidance, Control, and Dynamics, 2015, 39, 526–541.10.2514/1.G001470 ↗
28. Armanini S F, de Visser C C, de Croon G C H E, Mulder M. A time-scale separation approach for time-varying model identification of a flapping-wing micro aerial vehicle. AIAA Atmospheric Flight Mechanics Conference, San Diego, California, USA, 2016, AIAA 2016-1529.10.2514/6.2016-1529 ↗
29. Kim J H, Park C Y, Jun S-M, Chung D K, Kim J R, Hwang H C, Stanford B, Beran P, Parker G, Mroainski D. Flight test measurement and assessment of a flapping micro air vehicle. International Journal of Aeronautical and Space Sciences, 2012, 13, 238–249.10.5139/IJASS.2012.13.2.238 ↗
30. Gerdes J W, Bruck H A, Gupta S K. Improving prediction of flapping-wing motion by incorporating actuator constraints with models of aerodynamic loads using in-flight data. Journal of Mechanisms and Robotics, 2017, 9, 021011.10.1115/1.4035994 ↗
31. Amini M A, Ayati M. Performance of low-cost air-data sensors for airspeed and angle of attack measurements in a flapping-wing robot. Journal of Aerospace Engineering, 2019, 32, 04019018–1–04019018–12.10.1061/(ASCE)AS.1943-5525.0000997 ↗
32. PJRC. Teensy 3.6, [2018-11-11], https://www.pjrc.com/store/teensy36.html.
33. Ramezani A, Shi X, Chung S J, Hutchinson S. Lagrangian modeling and flight control of articulated-winged bat robot. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, 2015, 2867–2874.10.1109/IROS.2015.7353772 ↗
34. Ginsberg J H. Engineering Dynamics, Cambridge University Press, Cambridge, UK, 2008.
35. Armanini S F, Karásek M, de Croon G C H E, de Visser C C. Onboard/offboard sensor fusion for high-fidelity flapping-wing robot flight data. Journal of Guidance, Control, and Dynamics, 2017, 40, 2121–2132.10.2514/1.G002527 ↗
36. Straatman W. Developing an Autopilot for the Peregrine Falcon Robird. Msc Thesis, Twente University, Netherland 021RAM2014, 2014.
37. Draper N R, Smith H. Applied Regression Analysis, 3rd ed, Wiley, New York, USA, 1998.10.1002/9781118625590 ↗
38. Klein V, Morelli E A. Aircraft System Identification: Theory and Practice, American Institute of Aeronautics and Astronautics, Reston, VA, USA, 2006.10.2514/4.861505 ↗
39. Jategaonkar R V. Flight Vehicle System Identification: A Time Domain Methodology, American Institute of Aeronautics and Astronautics, Reston, VA, USA, 2006.10.2514/4.866852 ↗
40. Tischler M B, Remple R K. Aircraft and Rotorcraft System Identification, American Institute of Aeronautics and Astronautics, Reston, VA, USA, 2006.
41. Xsens Co. MTi 1-series, [2018-11-11], https://www.xsens.com/products/mti-1-series/.
42. TE Connectivity. MS 5611 Altimeter Pressure Sensor, [2018-11-11], https://www.te.com/usa-en/product-CAT-BLPS0036.html.
43. Sensirion Co. SDP600 Series — Differential Pressure Sensors, [2018-20-06], https://www.sensirion.com/fileadmin/user_upload/customers/sensirion/Dokumente/0_Datasheets/Differential_Pressure/Sensirion_Differential_Pressure_Sensors_SDP600Series_Datasheet.pdf.
44. AMS Co. AS5048A — 14-bit rotary position sensor, [2018-11-11], https://ams.com/as5048a.