Abstract
Until late the control of aircraft-type aerial vehicles, manned and unmanned, in manual and automatic modes, was formed largely heuristically, as a result of the evolution of piloting methods, aerobatic figures, and automatic control modes. Mathematical methods of optimal control have been used very sparingly, and thus the study of basic flight maneuvers appears promising from this point of view. Therefore, this paper considers an approach to the optimization of flight maneuvers, which could be utilized onboard. Basis of the suggested approach consists of setting an optimization problem that determines the requirements for a particular maneuver, followed by the use of direct methods for finding the optimal control. The authors propose a modification of the direct method based on the representation of the desired control signals as Hermitian cubic splines and the solution of the resulting multidimensional parametric problem by means of particle swarm optimization. The applicability of the method is demonstrated on the example of solving the problem of the UAV’s acceleration optimizing. For this case, an algorithm for the optimal execution of the maneuver was determined in order to save fuel and reduce its execution time; the result is confirmed by mathematical simulation.
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Acknowledgements
This work has been supported by the grant of the Russian Fund for Fundamental Research project 20-08-00449a performed at the State Research Institute of Aviation Systems and by state research No FFZF-2022-0005 performed at the SPC RAS.
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Korsun, O., Stulovskii, A., Kuleshov, S., Zaytseva, A. (2023). Approaches to Optimizing Individual Maneuvers of Unmanned Aerial Vehicle. In: Ronzhin, A., Pshikhopov, V. (eds) Frontiers in Robotics and Electromechanics. Smart Innovation, Systems and Technologies, vol 329. Springer, Singapore. https://doi.org/10.1007/978-981-19-7685-8_13
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