Abstract
In this paper, we propose real-time optimal guidance for aircraft terrain-following. Terrain-following is an essential technique for military aircraft and should be carried out in a safe flight while maintaining the lowest altitude as possible. In terrain-following, it is important for aircraft to stay above the reference trajectory and fly well despite the presence of disturbances such as wind. In this work, we propose a model predictive control method that performs real-time optimization for terrain-following guidance. MPC reflects the model of the aircraft and several maneuver constraints, so optimal planning for terrain-following can be designed. The nonlinear kinematic model of the aircraft is defined, and successive convexification is performed to linearize the nonlinear model and successfully solve the optimization problem. The proposed algorithm was compared with the general guidance algorithm, in this work we compared it with the L1 navigation law. As a result of real-time simulations, the MPC guidance algorithm performed terrain-following with a safer and smaller error, even with the presence of disturbances.
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References
Barfield F, Probert J, Browning D (1993 Mar) All terrain ground collision avoidance and maneuvering terrain following for automated low-level night attack. IEEE Aerosp Electron Syst Mag 8(3):40–47
Menon PKM, Kim E, Cheng VHL (Jul 1991) Optimal trajectory synthesis for terrain-following flight. J Guid Control Dyn 14(4):807-813
Williams P (2005) Aircraft Trajectory Planning for Three-Dimensional Terrain Following Incorporating Actuator Constraints. J Aircr 42(5):1358–1362
Malaek S.M, Kosari A.R. Novel Minimum Time Trajectory Planning in Terrain Following Flights. IEEE Transactions on Aerospace and Electronic Systems. 2007;43(1)
Dasol L, David HS (Nov 2014) Spline-RRT* based optimal path planning of terrain following flights for fixed-wing UAVs. In: international conference on Ubiquitous Robots and Ambient Intelligence, Malaysia
Saša V, William S (2019) Handbook of model predictive control. Birkhauser, Basel, Switzerland
Mao Y, Szmuk M, Açıkmeşe B (2016) Successive convexification of non-convex optimal control problems and its convergence properties. IEEE Conf Decis Control 55:3636-3641
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Noh, J., Ahn, H., Lee, J., Bang, H. (2023). Terrain-Following Guidance Based on Model Predictive Control. In: Lee, S., Han, C., Choi, JY., Kim, S., Kim, J.H. (eds) The Proceedings of the 2021 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2021), Volume 2. APISAT 2021. Lecture Notes in Electrical Engineering, vol 913. Springer, Singapore. https://doi.org/10.1007/978-981-19-2635-8_62
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DOI: https://doi.org/10.1007/978-981-19-2635-8_62
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