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Differential Game Throry For Multi UAV Pursuit Maneuver Technology Based On Collaborative Research

Posted on:2016-02-19Degree:MasterType:Thesis
Country:ChinaCandidate:J XieFull Text:PDF
GTID:2272330479989689Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
With the development of science and technology, the need of people’s life, the aviation technology in the world has been greatly developed, regardless of the civilian field or in the civilian field. Especially, the advanced aviation technology is priority applied to military purposes.. A variety of cutting-edge aviation technology application the aircraft performance continue to improve, such as the weight of the aircraft, the speed and overload performance data have reached a manned aircraft can reach the limit. Look to the future with the development of science and technology, aerospace science and technology development inevitable drone. Go on a variety of extreme missions.Unmanned aerial vehicle(UAV) compared with manned aircraft has great advantages: unmanned, zero casualty, low cost, endurance time is long, can perform high-risk tasks, strong adaptability and so on. Although the UAV related research cost is relatively high, long cycle, huge manpower and material resources, but because of its outstanding performance or attract foreign join the UAV’s army. The air confrontation is the important direction of UAV research.The UAV intelligent countermeasure system for multiple between human pursuit evasion problem and no task between man and Machine Co allocation problem of the study, research and discussed based on differential game theory UAV second problem of optimal maneuver decision, neural network model is used to solve multi machine against the target position matching problem.The main contents of this paper are as follows:Firstly, the dynamic model of a nonlinear tracking escape plane is built for two pairs of UAV.. The mobile decision model of the single UAV is studied by using differential game method for the single UAV.. Using geometric principle to maneuver flight control of multi UAV formation, using gradient iteration method to solve the model.. The pursuit of differential game theory optimal maneuvering decision algorithm can use in multi UAV formation.Secondly, the paper discusses the two sides without man-machine air combat system of multiple UAV task collaborative target matching problem, according to the advantage of both sides to single or cluster for cooperative priority function, and the application of the neural network algorithm built on both sides of the UAV target alignment matching model is performed using a simulation experiment to verify the effect.Finally, in simulation experiments. The results show that the multi UAV for single UAV differential game theory algorithm can make the multi UAV can quicklycapture a single target machine, and can realize the drones in combat in the formation flying against, has certain use value. In addition, this paper also proposed a neural network based multi object matching algorithm, which has strong adaptability, faster and more convergence.. The above algorithm can provide useful ideas for the UAV’s differential game theory and the target matching problem of UAV.
Keywords/Search Tags:UAV, differential game theory, Multi machine pursuit model, Target assignment, RBF neural network
PDF Full Text Request
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