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Journal Article

Citation

Wang X, Zhang W, Liu Y. Hangkong Xuebao 2015; 36(9): 3137-3146.

Copyright

(Copyright © 2015, Hang kong xue bao za zhi she)

DOI

10.7527/S1000-6893.2015.0056

PMID

unavailable

Abstract

The suicide drones' attack strategy under the influence of enemy's escort free-flight decoys is considered. Firstly, according to the suicide drone's operational characteristic, improved Lanchester equations are proposed. On the basis of airborne sensor's operational performance analysis, differential equations of the both sides' force attritions are established, so that the suicide drone's warfare rule can be described. Secondly, the optimal control method is applied to attack strategy analysis in Lanchester equations. Considering the Lanchester equations as state equations and taking suicide drones' attack probability as the control variable, the optimal control models of fixed and variable at terminal time can be separately established. Both optimal control problems are solved with Gauss pseudospectral method, so that the optimal attack strategies can be obtained. Lastly, the suicide drones' attack strategied are analyzed when enemy's killability is unknown, and the corresponding optimal attack strategies can be obtained. Under the given initial conditions, a series of simulations and verifications are carried out. The simulation results show that the models are feasible and the algorithm is effective, the methods described in the paper can provide references for air combat decision making. ©, 2015, AAAS Press of Chinese Society of Aeronautics and Astronautics. All right reserved.


Language: zh

Keywords

Decision making; Aircraft control; Attack strategies; Attack strategy; Differential equations; Drones; Equations of state; Escort free-flight decoys; Flight simulators; Free flight; Gauss pseudo-spectral methods; Lanchester equation; Lanchester equations; Operational characteristics; Operational performance; Optimal attack strategies; Optimal control; Optimal control systems; Optimal controls; Suicide drone

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