Abstract
The results of solving collective pursuit problems that cover strategic and tactical levels of the behavior of players are generalized. The proposed approach is based on a combination of methods of intelligent and geometric control of dynamic objects, such as unmanned aerial vehicles (AVs). Aerial vehicles use behavioral strategies in a perturbed environment implemented by the proposed rules for selecting the orientation angles and flight velocities in solving the posed problems. A structural diagram of the simulation of the pursuit process that takes into account the mathematical models of aerial vehicles and wind load is presented. Experimental studies are conducted to solve problems in a perturbed environment.
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References
Huang, Q., Yao, J., Li, Q., and Zhu, Y., Cooperative searching strategy for multiple unmanned aerial vehicles based on modified probability map, Commun. Comput. Inf. Sci., 2016, vol. 644, pp. 279–287.
Daingade, S. and Sinha, A., Nonlinear cyclic pursuit based cooperative target monitoring, Distrib. Auton. Rob. Syst., 2014, vol. 104, pp. 17–30.
Panov, A.I. and Yakovlev, K.S., Interaction of strategic and tactical planning of the behavior of agent coalitions in a dynamic environment, Iskusstv. Intell. Prinyatie Reshenii, 2016, no. 4, pp. 68–78.
Veselov, G., Sklyarov, A., and Sklyarov, S., Synergetic approach to the quadrotor helicopter control in an environment with external disturbances, Proceedings of 2016 International Siberian Conference on Control and Communications “SIBCON-2016” (May 12–14, 2016 Russia, Moscow), 2016. doi 10.1109/SIBCON. 2016.749168010.1109/SIBCON.2016.7491680
Stroud, D., Adaptive Simulated Pilot Phillip, J. Guid. Control Dyn., 1998, vol. 21, no. 2, pp. 352–354.
Prokop'ev, I.V., Automation of the system for autonomous control of an unmanned aerial vehicle, Trudy Mezhdunarodnogo Simpoziuma “Nadezhnost’ i kachestvo” (Proc. Int. Symp. Reliability and Quality), 2010, vol. 1, pp. 420–422.
Smirnov, S.V., The model of intelligent control of space vehicles by means of ground stations of command and measuring systems, Aviakosm. Priborostr., 2008, no. 6, pp. 42–49.
Xavier, J.A. and Selvakumari, S.R., Behavior architecture controller for an autonomous robot navigation in an unknown environment to perform a given task, Int. J. Phys. Sci., 2015, vol. 10, pp. 182–191.
Pandey, A. and Parhi, D.R., Multiple mobile robots navigation and obstacle avoidance using minimum rule based ANFIS network controller in the cluttered environment, Int. J. Adv. Rob. Autom., 2016, no. 1.
Abramov, N.S., Makarov, D.A., and Khachumov, M.V., Controlling flight vehicle spatial motion along a given route, Autom. Remote Control, 2015, vol. 76, no. 6, pp. 1070–1080.
Khachumov, M.V., Solving the problem of target following by an autonomous aircraft, Iskusstv. Intell. Prinyatie Reshenii, 2015, no. 2, pp. 45–52.
Khachumov, M.V., The problem of target pursuit by a group of unmanned flight vehicles, Proceedings of 2016 International Siberian Conference on Control and Communications “SIBCON-2016” (May 12–14, 2016 Russia, Moscow), 2016. doi 10.1109/SIBCON. 2016.749169810.1109/SIBCON.2016.7491698
Khachumov, M.V., Problems of Group Pursuit of a Target in a Perturbed Environment, Sci. Tech. Inf. Process., 2017, vol. 44, no. 5, pp. 357–364.
Petrosyan, L.A. and Rikhsiev, B.B., Presledovanie na ploskosti (Planar Pursuit), Moscow: Nauka, 1991.
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Original Russian Text © M.V. Khachumov, 2017, published in Iskusstvennyi Intellekt i Prinyatie Reshenii, 2017, No. 2, pp. 44–54.
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Khachumov, M.V. Solution of the Problem of Group Pursuit of a Target Under Perturbations (Spatial Case). Sci. Tech. Inf. Proc. 45, 435–443 (2018). https://doi.org/10.3103/S0147688218060047
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DOI: https://doi.org/10.3103/S0147688218060047