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UAV Cooperative Path Planning Based On RCS And Shortest Residence Time

Posted on:2019-05-05Degree:MasterType:Thesis
Country:ChinaCandidate:Z ChengFull Text:PDF
GTID:2392330590472052Subject:Communication and Information System
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UAV track planning directly affects the UAV's battlefield survivability.UAV collaborative track planning is a complex battlefield environment in which the overall flight path is planned in advance based on the missions undertaken.The ultimate goal is to improve the UAV's ability to survive on the battlefield and complete missions.In this paper,the RCS and the shortest residence time are taken as constraints to study the UAV path planning model,and simulation analysis is performed.The main work is as follows:(1)The research background significance of the aircraft path planning,the research status of the path planning algorithm and the applicable environment of the algorithm are introduced.It also briefly introduces several common path planning algorithms and summarizes the advantages and disadvantages of the algorithm's applicable environment and algorithms.The theoretical basis of path planning is introduced.(2)The mathematical model of aircraft path planning was studied,and the optimal control function of airspace planning and the constraints of aircraft maneuvering were given.The impact of the target RCS characteristics and radar detection power on the path planning is analyzed.It shows that by adjusting the attitude of the aircraft,increasing the target RCS value can increase the probability of detection.By reducing the radar transmit power,it is beneficial to the radio frequency stealth performance and reduce the exposure probability.(3)The design of the shortest detention time of UAV cooperative detection is studied.The overall track planning model and local track planning model of UAV collaborative detection are given.In the overall path planning model,a single-objective optimization model with the goal of the shortest residence time is given.In the local path planning model,the ant colony algorithm was used to plan the small target detection path in each target group.(4)The shortest residence time design of UAV collaborative short-range strike is studied,and the firepower distribution model of UAV,enemy radar station model and residual fire distribution model are presented.The UAV track planning model is presented,which is used to strike short range goal with the overall combat effectiveness and shortest residence time.The design of the shortest residence time of the UAV's coordinated long-range strike is studied,and the track planning model of the coordinated long-range strike mission is given.Based on the short-range strike model,the track planning principles for coordinated long-range strikes were determined.The design of the shortest residence time for the UAV's coordinated long-range strike is given.
Keywords/Search Tags:UAV, target RCS, coordination track planning, shortest residence time, Ant colony algorithm
PDF Full Text Request
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