Abstract
In this article, a new configuration of vertical take-off and landing (VTOL) UAV is proposed aiming at improving the energy utilize efficiency. In this configuration, a tiltable wing is installed at the center of the H-configuration quadrotor, and the orientation of the wing surface and the attitude of the quadrotor body are adjusted according to the orientation and magnitude of the target velocity. A state feedback + model feedforward flight controller capable of controlling the quadrotor with tiltable wing (QTW) throughout the entire flight envelope is proposed, without the need to switch between several mode. The performance of the proposed configuration and controller is demonstrated through a set of numerical simulations on the model of the QTW.
This work was supported by the National Natural Science Foundation of China (Grant No. 62273122).
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References
Argyle, M.E., Beard, R.W., Morris, S.: The vertical bat tail-sitter: dynamic model and control architecture. In: 2013 American Control Conference, pp. 806–811. IEEE (2013)
Bauersfeld, L., Scaramuzza, D.: Range, endurance, and optimal speed estimates for multicopters. IEEE Robot. Autom. Lett. 7(2), 2953–2960 (2022)
Bauersfeld, L., Spannagl, L., Ducard, G.J.J., Onder, C.H.: MPC flight control for a tilt-rotor VTOL aircraft. IEEE Trans. Aerosp. Electron. Syst. 57(4), 2395–2409 (2021). https://doi.org/10.1109/TAES.2021.3061819
Chen, Z., Jia, H.: Design of flight control system for a novel tilt-rotor UAV. Complexity 2020, 1–14 (2020)
Dalwadi, N., Deb, D., Ozana, S.: Dual observer based adaptive controller for hybrid drones. Drones 7(1) (2023). https://doi.org/10.3390/drones7010048
Dalwadi, N., Deb, D., Rath, J.J.: Biplane trajectory tracking using hybrid controller based on backstepping and integral terminal sliding mode control. Drones 6(3) (2022). https://doi.org/10.3390/drones6030058
Drela, M.: XFOIL: an analysis and design system for low reynolds number airfoils. In: Mueller, T.J. (ed.) Low Reynolds Number Aerodynamics, pp. 1–12. Springer, Cham (1989). https://doi.org/10.1007/978-3-642-84010-4_1
Flores, G.R., Escareño, J., Lozano, R., Salazar, S.: Quad-tilting rotor convertible MAV: modeling and real-time hover flight control. J. Intell. Robot. Syst. 65(1–4), 457–471 (2012)
kalpa Gunarathna, J., Munasinghe, R.: Development of a quad-rotor fixed-wing hybrid unmanned aerial vehicle. In: 2018 Moratuwa Engineering Research Conference (MERCon), pp. 72–77. IEEE (2018)
Jones, R., Cleaver, D., Gursul, I.: Aerodynamics of biplane and tandem wings at low reynolds numbers. Exp. Fluids 56, 1–25 (2015)
Liu, B., Li, J., Yang, Y., Zhou, Z.: Controller design for quad-rotor UAV based on variable aggregation model predictive control. Flight Control Detect. 4(3), 1–7 (2021)
Pfeifle, O., Fichter, W.: Minimum power control allocation for incremental control of over-actuated transition aircraft. J. Guid. Control. Dyn. 46(2), 286–300 (2023)
Smeur, E.J., Bronz, M., de Croon, G.C.: Incremental control and guidance of hybrid aircraft applied to a tailsitter unmanned air vehicle. J. Guid. Control. Dyn. 43(2), 274–287 (2020)
Stevens, B.L., Lewis, F.L., Johnson, E.N.: Aircraft Control and Simulation: Dynamics, Controls Design, and Autonomous Systems. Wiley, Hoboken (2015)
Sun, J., Li, B., Wen, C.Y., Chen, C.K.: Model-aided wind estimation method for a tail-sitter aircraft. IEEE Trans. Aerosp. Electron. Syst. 56(2), 1262–1278 (2020). https://doi.org/10.1109/TAES.2019.2929379
Swarnkar, S., Parwana, H., Kothari, M., Abhishek, A.: Biplane-quadrotor tail-sitter UAV: flight dynamics and control. J. Guid. Control. Dyn. 41(5), 1049–1067 (2018)
Xi, L., Zhu, Q., Zhang, D.: Sliding mode control design based on fuzzy reaching law for yaw angle of a tail-sitter UAV. In: 2016 22nd International Conference on Automation and Computing (ICAC), pp. 238–243 (2016). https://doi.org/10.1109/IConAC.2016.7604925
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Song, F., Li, Z., Li, H., Li, Y., Xu, Q., Xiu, B. (2023). To Improve the Energy Efficiency: Modeling and Control for Quadrotor with Tiltable Wing. In: Yang, H., et al. Intelligent Robotics and Applications. ICIRA 2023. Lecture Notes in Computer Science(), vol 14274. Springer, Singapore. https://doi.org/10.1007/978-981-99-6501-4_10
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