Abstract
Outstanding aerial capabilities that insects present in nature inspire researchers to undertake a challenge to develop a flapping aerial vehicle with performances unmatched by any manmade object. However, the complex aerodynamic phenomena crucial for the insect flight are not easily understood, let alone modeled and utilized for flight. The researchers managed to develop a quasi-steady aerodynamic model capable of capturing the most important aspects of a fruit fly-like insect flight, while still being efficient enough to allow for the usage in the flapping mechanism optimization loop. This experimentally justified quasi-steady model is used in the paper as a building block for creating a novel optimization algorithm, based on the discrete mechanics and optimal control framework. When compared to the conventional approaches to design optimization, this framework includes the natural description of the energy cost function, while incorporating the physical laws in the form of a discrete Lagrange–d’ Alembert equations inherently in optimization constraints. This leads to the discrete description of the inherently continuous problem, allowing the algorithm to search for the optimal solutions in the whole domain. In other words, in contrast to the conventional approaches involving the assumption on the function family and subsequent optimization on the parameters of that function type, this approach is not constrained by the user input and is capable of yielding any solution that respects the physical laws. As presented by the numerical test cases, optimizing the flapping patterns of a fruit fly-like aerial vehicle in standstill hovering leads to both effective and robust optimization tool.
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Notes
The terms translation and rotation in the names of the first two phenomena are a bit misleading; however, in order to achieve a clear linguistic distinction between these substantially different phenomena, such terms have also been used in this paper. Translational circulation is due to stroke rotation, while rotational circulation is due to pitch rotation.
Although the illustrative terms horseshoe-shaped vortex and doughnut-shaped vortex ring can be found in [1], or vortex ring and dumbbell-shaped vortex structure in [41], we have nevertheless opted for a new term, because we believe that its form is somewhat more practical. A similar approach can be found in [21].
With the aim of minimizing the impact of inertial forces. [33]
References
Aono, H., Liang, F., Liu, H.: Near- and far-field aerodynamics in insect hovering flight: an integrated computational study. J. Exp. Biol. 211(Pt 2), 239–257 (2008). https://doi.org/10.1242/jeb.008649
Berman, G.J., Wang, Z.J.: Energy-minimizing kinematics in hovering insect flight. J. Fluid Mech. 582, 153–168 (2007). https://doi.org/10.1017/S0022112007006209
Birch, J.M., Dickinson, M.H.: The influence of wing-wake interactions on the production of aerodynamic forces in flapping flight. J. Exp. Biol. 206(Pt 13), 2257–2272 (2003). https://doi.org/10.1242/jeb.00381
Chin, D.D., Lentink, D.: Flapping wing aerodynamics: from insects to vertebrates. J. Exp. Biol. 219(Pt 7), 920–932 (2016). https://doi.org/10.1242/jeb.042317
Choi, J.S., Zhao, L., Park, G.J., Agrawal, S.K., Kolonay, R.M.: Enhancement of a flapping wing using path and dynamic topology optimization. AIAA J. 49(12), 2616–2626 (2011). https://doi.org/10.2514/1.J050834
Dickinson, M.H., Götz, K.G.: Unstedy aerodynamic performance of model wings at low reynolds numbers. J. Exp. Biol. 174(1), 45–64 (1993)
Dickinson, M.H., Lehmann, F.O., Sane, S.P.: Wing rotation and the aerodynamic basis of insect flight. Science (N. Y.) 284(5422), 1954–1960 (1999). https://doi.org/10.1126/science.284.5422.1954
Doman, D., Oppenheimer, M., Sigthorsson, D.: Dynamics and control of a minimally actuated biomimetic vehicle: Part i—aerodynamic model. In: AIAA Guidance, Navigation, and Control Conference, p. 341. American Institute of Aeronautics and Astronautics, Reston, Virigina (2009). https://doi.org/10.2514/6.2009-6160
Ellington, C.P., van den Berg, C., Willmott, A.P., Thomas, A.L.R.: Leading-edge vortices in insect flight. Nature 384, 626–630 (1996)
Fry, S.N., Sayaman, R., Dickinson, M.H.: The aerodynamics of hovering flight in drosophila. J. Exp. Biol. 208(12), 2303–2318 (2005). https://doi.org/10.1242/jeb.01612
Gail, T., Ober Blöbaum, S., Leyendecker, S.: Variational multirate integration in discrete mechanics and optimal control (2017)
Ghommem, M., Hajj, M.R., Mook, D.T., Stanford, B.K., Beran, P.S., Snyder, R.D., Watson, L.T.: Global optimization of actively morphing flapping wings. J. Fluids Struct. 33, 210–228 (2012). https://doi.org/10.1016/j.jfluidstructs.2012.04.013
Harbig, R.R., Sheridan, J., Thompson, M.C.: Reynolds number and aspect ratio effects on the leading-edge vortex for rotating insect wing planforms. J. Fluid Mech. 717, 166–192 (2013). https://doi.org/10.1017/jfm.2012.565
Johnson, E., Schultz, J., Murphey, T.: Structured linearization of discrete mechanical systems for analysis and optimal control. IEEE Trans. Autom. Sci. Eng. 12(1), 140–152 (2015). https://doi.org/10.1109/TASE.2014.2333239
Jones, M., Yamaleev, N.K.: Adjoint-based optimization of three-dimensional flapping-wing flows. AIAA J. 53(4), 934–947 (2015). https://doi.org/10.2514/1.J053239
Kane, C., Marsden, J.E., Ortiz, M., West, M.: Variational integrators and the newmark algorithm for conservative and dissipative mechanical systems. Int. J. Numer. Methods Eng. 49(10), 1295–1325 (2000). https://doi.org/10.1002/1097-0207(20001210)49:10<1295::AID-NME993>3.0.CO;2-W
Kaya, M., Tuncer, I.H.: Nonsinusoidal path optimization of a flapping airfoil. AIAA J. 45(8), 2075–2082 (2007). https://doi.org/10.2514/1.29478
Lehmann, F.O.: The mechanisms of lift enhancement in insect flight. Die Naturwissenschaften 91(3), 101–122 (2004). https://doi.org/10.1007/s00114-004-0502-3
Lehmann, F.O.: The aerodynamic effects of wing-wing interaction in flapping insect wings. J. Exp. Biol. 208(16), 3075–3092 (2005). https://doi.org/10.1242/jeb.01744
Lentink, D., Dickinson, M.H.: Rotational accelerations stabilize leading edge vortices on revolving fly wings. J. Exp. Biol. 212(Pt 16), 2705–2719 (2009). https://doi.org/10.1242/jeb.022269
Li, C., Dong, H.: Three-dimensional wake topology and propulsive performance of low-aspect-ratio pitching-rolling plates. Phys. Fluids 28(7), 071901 (2016). https://doi.org/10.1063/1.4954505
Marsden, J.E., West, M.: Discrete mechanics and variational integrators. Acta Numer. 10, 357–514 (2001). https://doi.org/10.1017/S096249290100006X
Milano, M., Gharib, M.: Uncovering the physics of flapping flat plates with artificial evolution. J. Fluid Mech. 534, 403–409 (2005). https://doi.org/10.1017/S0022112005004842
Nguyen, A.T., Tran, N.D., Vu, T.T., Pham, T.D., Vu, Q.T., Han, J.H.: A neural-network-based approach to study the energy-optimal hovering wing kinematics of a bionic hawkmoth model. J. Bionic Eng. 16(5), 904–915 (2019). https://doi.org/10.1007/s42235-019-0105-5
Ober-Blöbaum, S.: Discrete mechanics and optimal control (2008)
Ober-Blöbaum, S., Junge, O., Marsden, J.E.: Discrete mechanics and optimal control: an analysis. ESAIM: Control Optim. Calc. Var. 17(2), 322–352 (2011). https://doi.org/10.1051/cocv/2010012
Phan, H.V., Park, H.C.: Wing inertia as a cause of aerodynamically uneconomical flight with high angles of attack in hovering insects. J. Exp. Biol. 221(19), 187369 (2018). https://doi.org/10.1242/jeb.187369
Poelma, C., Dickson, W.B., Dickinson, M.H.: Time-resolved reconstruction of the full velocity field around a dynamically-scaled flapping wing. Exp. Fluids 41(2), 213–225 (2006). https://doi.org/10.1007/s00348-006-0172-3
Pohly, J.A., Kang, C.K., Sridhar, M., Landrum, D.B., Fahimi, F., Bluman, J.E., Aono, H., Liu, H.: Payload and power for dynamically similar flapping wing hovering flight on mars. In: 2018 AIAA Atmospheric Flight Mechanics Conference, p. 19. American Institute of Aeronautics and Astronautics, Reston, Virginia (01082018). https://doi.org/10.2514/6.2018-0020
Pohly, J.A., Salmon, J.L., Bluman, J.E., Nedunchezian, K., Kang, C.K.: Quasi-steady versus Navier–Stokes solutions of flapping wing aerodynamics. Fluids 3(4), 81 (2000)
Sane, S.P.: The aerodynamics of insect flight. J. Exp. Biol. 206(Pt 23), 4191–4208 (2003). https://doi.org/10.1242/jeb.00663
Sane, S.P., Dickinson, M.H.: The control of flight force by a flapping wing: lift and drag production. J. Exp. Biol. 204(15), 2607–2626 (2001)
Sane, S.P., Dickinson, M.H.: The aerodynamic effects of wing rotation and a revised quasi-steady model of flapping flight. J. Exp. Biol. 205(8), 1087–1096 (2002)
Soueid, H., Guglielmini, L., Airiau, C., Bottaro, A.: Optimization of the motion of a flapping airfoil using sensitivity functions. Comput. Fluids 38(4), 861–874 (2009). https://doi.org/10.1016/j.compfluid.2008.09.012
Stanford, B.K., Beran, P.S.: Analytical sensitivity analysis of an unsteady vortex-lattice method for flapping-wing optimization. J. Aircr. 47(2), 647–662 (2010). https://doi.org/10.2514/1.46259
Sun, M., Tang, J.: Lift and power requirements of hovering flight in drosophila virilis. J. Exp. Biol. 205(16), 2413–2427 (2002)
Sun, M., Tang, J.: Unsteady aerodynamic force generation by a model fruit fly wing in flapping motion. J. Exp. Biol. 205(1), 55–70 (2002)
Taha, H.E., Hajj, M.R., Nayfeh, A.H.: Flight dynamics and control of flapping-wing mavs: a review. Nonlinear Dyn. 70(2), 907–939 (2012). https://doi.org/10.1007/s11071-012-0529-5
Taha, H.E., Hajj, M.R., Nayfeh, A.H.: Wing kinematics optimization for hovering micro air vehicles using calculus of variation. J. Aircr. 50(2), 610–614 (2013). https://doi.org/10.2514/1.C031969
Tuncer, I.H., Kaya, M.: Optimization of flapping airfoils for maximum thrust and propulsive efficiency. AIAA J. 43(11), 2329–2336 (2005). https://doi.org/10.2514/1.816
van den Berg, C., Ellington, C.P.: The vortex wake of a ’hovering’ model hawkmoth. Philos. Trans. R. Soc. London Ser. B Biol. Sci. 352(1351), 317–328 (1997). https://doi.org/10.1098/rstb.1997.0023
Weis-Fogh, T.: Quick estimates of flight fitness in hovering animals, including novel mechanisms for lift production. J. Exp. Biol. 59(1), 169–230 (1973)
Xu, M., Wei, M.: Using adjoint-based optimization to study kinematics and deformation of flapping wings. J. Fluid Mech. 799, 56–99 (2016). https://doi.org/10.1017/jfm.2016.351
Xu, M., Wei, M., Li, C., Dong, H.: Adjoint-based optimization for thrust performance of three-dimensional pitching-rolling plate. AIAA J. 57(9), 3716–3727 (2019). https://doi.org/10.2514/1.J057203
Zheng, L., Hedrick, T.L., Mittal, R.: A multi-fidelity modelling approach for evaluation and optimization of wing stroke aerodynamics in flapping flight. J. Fluid Mech. 721, 118–154 (2013). https://doi.org/10.1017/jfm.2013.46
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This work has been fully supported by Croatian Science Foundation under the Project IP-2016-06-6696.
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Terze, Z., Pandža, V., Kasalo, M. et al. Optimized flapping wing dynamics via DMOC approach. Nonlinear Dyn 103, 399–417 (2021). https://doi.org/10.1007/s11071-020-06119-y
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DOI: https://doi.org/10.1007/s11071-020-06119-y