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Study On Decision-making For Single-aircraft Multi-target Combat

Posted on:2010-01-07Degree:MasterType:Thesis
Country:ChinaCandidate:H H WuFull Text:PDF
GTID:2132360278962416Subject:Aviation Aerospace Manufacturing Engineering
Abstract/Summary:PDF Full Text Request
Referring to the theory of the modern air-combat, the thesis studies respectively the two key techniques of multi-target attacking game, which are multi-target sorting, optimization of fire distribution.Firstly, combat engagement of fighter and medium-range air-to-air missile is studied. The mathematical model of aircraft and missile is established, and the missile applies proportional guidance law. Then abundant cases of offense-defense confrontation between missile and fighter which maneuvers or launches decoy missile are simulated based on Visual C++ and Matlab. The result shows that maneuver or launching decoy missile will help the fighter to survive. It provides theory basis for multi-target attacking.Secondly, a study of target sorting in air combat of single aircraft against multiple targets is presented using the fuzzy optimization method. According to given 3D air combat situation (velocities, relative angle, distance, height) ,the air combat capability index and the campaign value of target , the fuzzy optimal membership degree method can be used to quantify these factors, then every weigh can be determined with the mathematic optimum method. Eventually optimal linearly weighted decision method is used to compute the synthetic evaluation, and then the attack sequence can be determined.Thirdly, a study of fire distribution of top several attacking target is presented. In order to maximize the value of attacked targets and minimize the threaten of left targets, this paper obtains the optimal scheme of fire distribution by using adaptive genetic algorithms. The mathematical model of fire distribution for multi-target attacking is set up. Then a program to resolve fire distribution by using adaptive genetic algorithms is developed. Based on these, lots of simulations are carried out. The result shows that the crossing probability and mutating probability adjusted by population fitness can vastly improve the speed of convergence and the ability of searching best individual.Lastly, the process of multi-target attacking is simulated using VC++ and Matlab. Then it concludes the result which proves the methods are practicable and valid.
Keywords/Search Tags:multi-target sorting, fuzzy multi-objective decision makings, optimization of fire distribution, adaptive genetic algorithm
PDF Full Text Request
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