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Intelligent Fire System Of UAVs Attack And Defense Integration And Research On Missile Intelligent Guidance Law

Posted on:2009-04-04Degree:MasterType:Thesis
Country:ChinaCandidate:W S YuFull Text:PDF
GTID:2132360272477022Subject:Weapons systems, and application engineering
Abstract/Summary:PDF Full Text Request
This thesis mainly deals with multi-aircraft cooperative multi-target attack intelligent fire control system and research on missile intelligent guidance law.Firstly, the main property of data link is introduced and the anti-jamming technology is mainly studied. And take the case of Link-16, some key technological properties are studied. By use of the good quality of UAV communication relay, the three dimensional network architecture is set up, which extends the communication greatly. In the end, the usable dynamic information is obtained by compensation of time delay.Secondly, target threat assessment and ordering are studied for multi-target attack. For if the preference information is completely known, two methods for ordering are proposed based on Analytic Hierarchy Process and Fuzzy Optimum Seeking Cross Iterative. In view of good quality of Elman neural network, a method based on Elman neural network is proposed for threat ordering, which is intelligent. The simulation shows that the three methods proposed are correct and accordant.Thirdly, air combat decision for multi-fighter cooperative attack is studied. Attack ordering and firepower assignment are firstly introduced for single-to-multiple attack. In view of the excellence of the Tempered Annealing Algorithm on its memory and the specialty of the problem, the method is studied for the first self attack and cooperative attack. On the base of the prediction of combat result, the second self attack and cooperative attack is realized in the end.Fourthly, intelligent guidance law is studied. The three-dimensional guidance model is firstly established, and the proportional guidance law and the sliding-mode guidance law are introduced. In consideration of the buffeting problem in the sliding-mode guidance law and the specialty of Fuzzy Neural Network, an intelligent adaptive sliding-mode guidance law is presented based on FNN. The simulation shows the law is effective and realizable.Fifthly, the three-dimensional visual simulation is developed using virtual simulation software MultiGen Creator, Vega and VC++. It lively shows the whole process of missile attacking maneuverable target.
Keywords/Search Tags:tactical data link, compensation of time delay, threat assessment, cooperative attack, air combat decision, intelligent guidance law, fuzzy neural network, three-dimensional visual simulation
PDF Full Text Request
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