4/19/2024 0 Comments Air combat maneuvers su 27 pdf![]() ![]() ![]() IEEE Trans Syst Man Cybern Syst 43(6):1451–1465 Unmanned Syst 03(03):185–204įu Y, Ding M, Zhou C, Hu H (2013) Route planning for unmanned aerial vehicle (UAV) on the sea using hybrid differential evolution and quantum-behaved particle swarm optimization. IEEE PressĮrnest N, Cohen K, Kivelevitch E, Schumacher C, Casbeer D (2015) Genetic fuzzy trees and their application towards autonomous training and control of a squadron of unmanned combat aerial vehicles. In: Eleventh conference on congress on evolutionary computation. IEEE Trans Syst Man Cybern Syst 47(1):1–16Įpitropakis MG, Plagianakos VP, Vrahatis MN (2009) Evolutionary adaptation of the differential evolution control parameters. J Spacecr Rockets 48(3):433–445ĭorling K, Heinrichs J, Messier GG, Magierowski S (2016) Vehicle routing problems for drone delivery. Syst Eng Electron 41(01):101–109ĭarby CL, Hager WW, Rao AV (2011) Direct trajectory optimization using a variable low-order adaptive pseudospectral method. IEEE Trans Evol Comput 10(6):646–657ĭali D, Jie W, Kangsheng D, Shuo KU (2019) Rapid generation method of UCAV tactical maneuver trajectory based on RBF network. J Guid Control Dyn 13(6):1143–1149īrest J, Greiner S, Boskovic B, Mernik M, Zumer V (2006) Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark problems. Īustin F, Carbone G, Hinz H, Lewis M, Falco M (1990) Game theory for automated maneuvering during air-to-air combat. Report at Īustin F, Carbone G, Falco M, Hinz H, Lewis M (1987) Automated maneuvering decisions for air-to-air combat. Reilly MB, Lisa Ventre WA (2016) Beyond video games: new artificial intelligence beats tactical experts in combat simulation. ![]() Meanwhile, it satisfies the real-time requirements for generating tactical manoeuvring trajectory for UCAV autonomous air combat. The experimental results showed that the MPRDE algorithm has outstanding performance in convergence speed, global optimization ability and robustness, and the method based on characteristic parameters could effectively and quickly represent the tactical maneuver trajectory of UCAV by using MPRDE. On the other hand, multi-population rotation strategy differential evolution (MPRDE) algorithm is designed to search for the optimal characteristic parameters. On the one hand, the paper analyses the tactical maneuver trajectory and combines the situation evaluation model to construct a tactical maneuver trajectory optimization function based on characteristic parameters. Therefore, aiming to solve a tactical maneuver trajectory optimization problem for an UCAV in autonomous air combat, this paper proposed a novel method by converting the problem to an optimization problem of characteristic parameters. Its purpose is to generate maneuver trajectory so that UCAVs obtain better air combat situation. Autonomous air combat is an inevitable trend in the development of unmanned combat aerial vehicle (UCAV) equipment. ![]()
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