Abstract
Landing is the most critical flight phase of a fixed-wing Unmanned Aerial Vehicle (UAV). An accurate trajectory tracking during the landing phase determines whether a UAV can be safely recovered, while the non-linear trajectory in the flare phase makes it difficult to be tracked accurately. Consider that the trajectory in the flare phase is usually pre-defined in many cases, in this paper, we propose a more practical way that use Iterative Learning Control (ILC) to gradually determine the proper input to the UAV by repeating the landing maneuver. The tracking error of each attempt is stored, processed, and becomes the compensation for the next flight. To minimize the risk, these attempts can be performed in mid-air until the tracking error meets the requirements. In this paper, an analysis based on the nonlinear aircraft dynamic model shows that the tracking error caused by model inaccuracy cannot be compensated by the integrator. Then, An ILC based landing trajectory tracking controller is designed. Simulation results demonstrate the effectiveness of the proposed ILC controller.
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References
Khan, H.Z.I., Rajput, J., Ahmed, S., Riaz, J.: An adaptive flare scheme for autonomous landing of a fixed-wing UAV. In: 2019 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST), Islamabad, Pakistan, pp. 425–30 (2019)
Mihai, L.: Backstepping and dynamic inversion combined controller for auto-landing of fixed wing UAVs. Aerosp. Sci. Technol. 96, 105526 (2020). https://doi.org/10.1016/j.ast.2019.105526
Gudeta, S., Karimoddini, A.: Design of a smooth landing trajectory tracking system for a fixed-wing aircraft. In: 2019 American Control Conference (ACC), Philadelphia, PA, USA, pp. 5674–5679 (2019)
Beard, R.W., McLain, T.W.: Small Unmanned Aircraft: Theory and Practice. Princeton University Press, Princeton (2012)
Kang, Y., Hedrick, J.K.: Linear tracking for a fixed-wing UAV using nonlinear model predictive control. IEEE Trans. Control Syst. Technol. 17(5), 1202–1210 (2009). https://doi.org/10.1109/TCST.2008.2004878
Hernandez Ramirez, J.C., Nahon, M.: Trajectory tracking control of highly maneuverable fixed-wing unmanned aerial vehicles. In: AIAA Scitech 2020 Forum, Orlando, FL (2020)
Pravitra, J., Johnson, E.N.: Adaptive control for attitude match station-keeping and landing of a fixed-wing UAV onto a maneuvering platform. In: AIAA Scitech 2020 Forum, Orlando, FL (2020)
Christoph, H., Dirk, A.: Model predictive trajectory tracking for a ground vehicle in a heterogeneous rendezvous with a fixed-wing aircraft. IFAC-PapersOnLine 53(2), 15693–15698 (2020). https://doi.org/10.1016/j.ifacol.2020.12.2563
Manzoor, T., Xia, Y., Zhai, D.-H., Ma, D.: Trajectory tracking control of a VTOL unmanned aerial vehicle using offset-free tracking MPC. Chin. J. Aeronaut. 33(7), 2024–2042 (2020). https://doi.org/10.1016/j.cja.2020.03.003
Willis, J., Beard, R.W.: Nonlinear Trajectory Tracking Control for Winged eVTOL UAVs n.d.:9
Cardoso, D.N., Esteban, S., Raffo, G.V.: A new robust adaptive mixing control for trajectory tracking with improved forward flight of a tilt-rotor UAV. ISA Trans. 110, 86–104 (2021). https://doi.org/10.1016/j.isatra.2020.10.040
A survey of iterative learning control. IEEE Control Syst. 26(3), 96–114 (2006). https://doi.org/10.1109/MCS.2006.1636313
Kapania, N.R., Gerdes, J.C.: Path tracking of highly dynamic autonomous vehicle trajectories via iterative learning control. In: 2015 American Control Conference (ACC), Chicago, IL, USA, pp. 2753–2758 (2015)
Foudeh, H.A., Luk, P., Whidborne, J.F.: Quadrotor system design for a 3 DOF platform based on iterative learning control. In: 2019 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED UAS), Cranfield, United Kingdom, pp. 53–59 (2019)
Xunhua, D., Quan, Q., Jinrui, R., Zhiyu, X., Kai-Yuan, C.: Terminal iterative learning control for autonomous aerial refueling under aerodynamic disturbances. J. Guid. Control Dyn. 41(7), 1577–1584 (2018). https://doi.org/10.2514/1.G003217
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Li, J., Jia, Z., Liu, T. (2022). A Landing Trajectory Tracking Controller for Fixed-Wing UAV Based on Iterative Learning Control. In: Proceedings of the 5th China Aeronautical Science and Technology Conference. Lecture Notes in Electrical Engineering, vol 821. Springer, Singapore. https://doi.org/10.1007/978-981-16-7423-5_44
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DOI: https://doi.org/10.1007/978-981-16-7423-5_44
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