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Acta Armamentarii ›› 2017, Vol. 38 ›› Issue (1): 160-167.doi: 10.3969/j.issn.1000-1093.2017.01.021

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UCAV Robust Maneuver Decision Based on Statistics Principle

GUO Hai-feng1, HOU Man-yi1, ZHANG Qing-jie1, TANG Chuan-lin2   

  1. (1.Aviation University of Air Force, Changchun 130022, Jilin, China; 2.Unit 94782 of PLA, Hangzhou 310004, Zhejiang, China)
  • Received:2016-03-23 Revised:2016-03-23 Online:2017-03-03

Abstract: An UCAV (unmanned combat air vehicle) robust maneuver decision method based on statistics principle is proposed for UCAV robust autonomous combat decision. A mathematic model of UCAV is built to reduce the sensibility of the combat maneuver decision. The typical maneuver library is improved, and the robust membership functions of the air combat situation parameters are designed. The statistics method is introduced in the robust maneuver decision, and the simulations are carried out with two typical air combat cases of UCAV confront maneuver and non-maneuver objects. The simulated results indicate that the robust maneuver decision method has the robustness and optimizing capability in guiding UCAV to the advantage situation. Key

Key words: controlscienceandtechnology, statistics, robust, maneuver, decision, aircombat

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