Abstract
The new optimization algorithm of UAV’s vertical profile is proposed in this paper. The optimization model of the UAV is established. The optimization index functions are constructed using the Hamilton function. As the problem of high dimensional two-point boundary value which cannot be solved by the analytical method, but solved by means of an appropriate numerical method, an improved deepest descent algorithm based on the steepest descent method and the Newton method is proposed. The flight trajectory optimization problem is solved by using the proposed new algorithm, the gradient descent method is improved and the convergence rate is accelerated. Finally, the feasibility and the effectiveness of the flight trajectory optimization algorithm are verified by the simulation.
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Gong, J., Xie, R. (2012). Trajectory Optimization of Unmanned Aerial Vehicle in Vertical Profile. In: Su, CY., Rakheja, S., Liu, H. (eds) Intelligent Robotics and Applications. ICIRA 2012. Lecture Notes in Computer Science(), vol 7506. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33509-9_40
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DOI: https://doi.org/10.1007/978-3-642-33509-9_40
Publisher Name: Springer, Berlin, Heidelberg
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