Abstract
The growing use of drones today necessitates improved UAVs performance and capabilities. These requirements include flights in operational environments full of obstacles which present navigation and stability problems due to large-scale turbulence. To address this major concern, turbulence alleviation capabilities of natural counterparts have been studied in depth. Birds use inherent active and passive flow mechanism in their flapping wings and also deflection of covert feathers to stabilize themselves in turbulent airflows. This paper presents a novel bio-inspired gust mitigation system (GMS) for flapping wing UAVs mimicking covert feathers of birds. GMS senses the forces experienced from turbulent airflows and actuates to perform local airflow manipulations to alleviate them. GMS comprises of electromechanical feathers capable of deflecting out of the airfoil once they encounter turbulence. Modeling of single electromechanical feather assists in development of a complete GMS model that is further integrated in wing, modeled as flexible Euler–Bernoulli beam, and a complete dynamic model of flapping wing is obtained using bond graph modeling approach. We perform digital simulations and compute state-space equations to analyze model internal dynamics and responses. Comparison of the simulation results of wing without GMS and GMS-integrated wing, in response to vertical gust, confirms the efficacy of offered design. Furthermore, a good agreement between the present simulation results and experimental results from the literature validates the proposed model. As a result, the offered design successfully marks an initial step toward research into bio-inspired active gust mitigation systems for flapping wing UAVs.
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Abbreviations
- GMS:
-
Gust mitigation system
- BGM:
-
Bond graph model
- GAS:
-
Gust alleviation system
- PZT:
-
Piezoelectric transducer
- EM:
-
Electromechanical
- UAV:
-
Unmanned aerial vehicle
- UAS:
-
Unmanned aircraft system
- CFD:
-
Computational fluid dynamics
- Sf:
-
Source of flow
- Se:
-
Source of effort
- MSf:
-
Modulated source of flow
- MSe:
-
Modulated source of effort
- TF:
-
Transformer
- GY:
-
Gyrator
- SJA:
-
Synthetic jet actuators
References
Ellington CP (1984) The aerodynamics of hovering insect flight: II. Morphological parameters. Phil Trans R Soc B 305:17–40
Rob M (2018) The autonomous selfie drone. https://www.news.mit.edu/2018/startup-skydio-autonomous-selfie-drone-0313. Assessed 25 July 2018
Anne G, Jordan T (2018) Delivery by drone: an evaluation of unmanned aerial vehicle technology in reducing CO2 emissions in the delivery service industry. Transp Res Part D Transp Environ 61:58–67
Muhammad AG, Kundan K, Javed MA (2018) High-voltage transmission line inspection robot. In: International conference on engineering and emerging technologies (ICEET)
Zhang L, Wang B, Peng W, Li C, Zeping L, Guo Y (2015) A method for forest fire detection using UAV. Adv Sci Technol Lett 81:69–74
Advisory Group for Aerospace Research & Development (1986) Gust load prediction and alleviation on a fighter aircraft. AGARD, Report R-728
Grand C, Martinelli P, Mouret J-B, Doncieux S (2008) Flapping-wing mechanism for a bird-sized UAVS: design, modeling and control. In: 11th International symposium on advances in robot kinematics, France, pp 127–136
Jahanbin Z, Karimian S (2018) Modeling and parametric study of a flexible flapping-wing MAV using the bond graph approach. J Braz Soc Mech Sci Eng 40(2):96
NRG Travel. The Matterhorn, Switzerland. https://www.nrgtravel.com. Assessed 3 Aug 2018
Cionco RM, Vaucher GT, D’Arcy S, Bustillos M (2006) Near-building turbulent intensities, fluxes, and vortices. US Army Research Laboratory, Report J6.4
Chan ST, Stevens DE, Lee RL (2000) A model for flow and dispersion around buildings and its validation using laboratory measurements. US Department of Energy, Report UCRL-JC-137458
Al-Khalidy N (2006) Computational fluid dynamics simulation of turbulent flows and pollutant dispersions around groups of buildings. VIPAC Engineers, Report
Watkins S, Milbank J, Loxton B (2006) Atmospheric winds and their effects on micro air vehicles. AIAA J 44:2591–2600
Watkins S, Fisher A, Mohamed A, Marino M, Thompson M, Clothier R, Ravi S (2013) The turbulent flight environment close to the ground and its’ effects on fixed and flapping wings at low Reynolds number. In: 5th European conference for aeronautics and space sciences
Mccarley JS, Wickens CD (2004) Human factors concerns in UAV flight. University of Illinois at Urbana-Champaign Institute of Aviation, Aviation Human Factors Division, Savoy
Sprater A (1914) Stabilizing device for flying machines. 1119324, US Patent Office, Alexandria, VA
Harpur NF (1973) Effect of active control systems on structural design criteria. Advisory Group for Aerospace Research and Development, AGARD, Washington
Hawk J, Connor RJ, Levy C (1952) Dynamic analysis of the C-47 gust load alleviation system. SM 14456, Douglas Aircraft, Santa Monica, CA
Kraft CC (1956) Initial results of a flight investigation of a gust alleviation system, TM-3612. NASA, Washington, DC
McLean D (1978) Gust-alleviation control systems for aircraft. In: Proceedings of the institution of electrical engineers—control and science. IEE, Loughborough, 125
Mohamed A, Clothier R, Watkins S, Sabatini R, Abdulrahim M (2014) Fixed-wing MAV attitude stability in atmospheric turbulence. Part 1: suitability of conventional sensors. Prog Aerosp Sci 70:69–82
Mohamed A, Clothier R, Watkins S, Sabatini R, Abdulrahim R (2014) Fixed-wing MAV attitude stability in atmospheric turbulence. Part 2: investigating biologically-inspired sensors. Prog Aerosp Sci 71:1–13
Ren J, Fu W, Yan J (2018) Gust perturbation alleviation control of small unmanned aerial vehicle based on pressure sensor. Int J Aerosp Eng
Blower CJ, Wickenheiser AM (2010) Biomimetic feather structures for localized flow control and gust alleviation on aircraft wings. In: 21st International conference on adaptive structures and technologies. State College, PA
Barron Associates. Adaptive control for synthetic jet actuators. https://www.barron-associates.com/adaptive-control-of-synthetic-jet-actuators/. Assessed 15 Aug 2018
Tropea C, Yarin AL, Foss JF (2007) Springer handbook of experimental fluid mechanics, vol 1. Springer, Berlin
Cheung P, Lam CC, Chan PW (2008) Estimating turbulence intensity along flight paths in terrain disrupted airflow using anemometer and wind profiler data. In: Proceedings of conference of mountain meteorology, Report P2.29
Tilmann CP, Langan KJ, Betterton JG, Wilson MJ (2000) Characterization of pulsed vortex generator jets for active flow control. In: Proceedings of RTO AVT, Report RTO MP-051
Moore N (2008) Birds, bats and insects hold secrets for aerospace engineers. http://ns.mich.edu/htdocs/releases/story.php?id=6312. Assessed 28 Aug 2018
Send W et al (2012) Artifcial hinged-wing bird with active torsion and partially linear kinematics. In: 28th International congress of the aeronautical sciences, 2012
Dubois G (2018) Modeling and simulation. CRC Press, Boca Raton
Karnopp DC, Margolis DL, Rosenberg RC (2000) System dynamics modeling and simulation of mechatronic systems. Wiley, Canada
Pourtakdoust SH, Karimain Aliabadi S (2012) Evaluation of flapping wing propulsion based on a new experimentally validated aeroelastic model. Scientia Iranica B 19(3):472–482
Xu M, Wei M, Yang T, Lee YS, Burton TD (2011) Nonlinear structural response in flexible flapping wings with different density ratio. In: 49th AIAA aerospace sciences meeting including the New Horizons forum and aerospace exposition, AIAA 2011–376
Mukherjee I, Omkar SN (2011) An analytical model for the aeroelasticity of insect flapping. In: 52nd AIAA/ASME/ASCE/AHS/ASC structures, structural dynamics and materials conference. AIAA, pp 2011–2012
Beards CE (1996) Structural vibration: analysis and damping. Arnold, a member of the Hodder Headline Group, Britain
Jahanbin Z, Ghafari AS, Ebrahimi A, Meghdari A (2016) Multibody simulation of a flapping-wing robot using an efficient dynamical model. J Braz Soc Mech Sci Eng 38(1):133–149
Daniel T, Combes S (2002) Flexing wings and fins: bending by inertial or fluid dynamic forces. Int Comput Biol 42:1044–1049
Combes SA, Daniel TL (2003) Into thin air: contributions of aerodynamic and inertial-elastic forces to wing bending in the hawk moth manduca sexta. Exp Biol 206:2999–3006
Chin DD, Lentink D (2016) Flapping wing aerodynamics: from insects to vertebrates. J Exp Biol 219(7):920–932
Communier D, Salinas MF, Moyao OC, Botez RM (2015) Aero structural modeling of a wing using CATIA V5 and XFLR5 software and experimental validation using the Price- Païdoussis wing tunnel. In: AIAA atmospheric flight mechanics conference, AIAA AVIATION forum. AIAA, pp 2015–2558
Abbasi SH, Mahmood A (2019) Modeling, simulation and control of a bio-inspired electromechanical feather for gust mitigation in flapping wing UAV. In: 2nd International conference on communication, computing and digital systems (C-CODE’ 19), Pakistan
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Abbasi, S.H., Mahmood, A. Bio-inspired gust mitigation system for a flapping wing UAV: modeling and simulation. J Braz. Soc. Mech. Sci. Eng. 41, 524 (2019). https://doi.org/10.1007/s40430-019-2044-9
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DOI: https://doi.org/10.1007/s40430-019-2044-9