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Research On Aerospace Cooperative Mission Planning For Continuation Observation Of Maritime Moving Targets

Posted on:2017-01-16Degree:MasterType:Thesis
Country:ChinaCandidate:X X LiangFull Text:PDF
GTID:2382330569999068Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
In recent years,the whole international situation is peaceful,but local conflicts occur occasionally.Our country has a vast territory,and there are disputes over the rights and interests of the individual countries in the sea.With the United States' Asia--Pacific Rebalancing Strategy put forward,these sea conflicts have increased.To protect the national maritime rights and interests,how to effectively track and observe the maritime moving target is a problem that needs to be solved urgently.For tracking and observing a maritime moving targets,the existing methods either rely on satellite observations,or only rely on UAV observations,even though the two cooperative observations,they confined to a simple task allocation,and they did not solve the problem of maritime moving targets continuation observation.Based on the analysis of differences and deficiencies between the current earth observation satellite and UAV observation,we constructed an aerospace collaborative continuous observation model for the maritime moving targets,proposed collaborative continuous observation strategies to reduce the space complexity of solving the model and an algorithm,combined with simulation examples verify that.The main contents of this paper are as follows.1.Formal description about the problem of observation oriented maritime moving targets tracking and mission planning model for the continuation observation of maritime moving targets are presented.The problem of maritime moving targets tracking is different from the traditional observation problem,with obvious characteristics of space and time,the long time span,and need to consider more factors.After analyzing the essence of the problem,we establishes the mathematical model of the problem,and converts the essence of the problem by the form of the mathematical formula,makes sure the optimization objectives and related constraints.2.Aerospace cooperative strategy of mobile observation,and the detailed design of this strategy are proposed.Aerospace collaborative for the continuation observation of maritime moving targets involves multiple entities,and the connection thread of each entity and function between entities of the space resource synergy condition plays an important role in understanding.According to the current situation,we describes the working flow of each entity,the connection between determined entities,proposes a aerospace cooperative strategy.Along the time axis,the original problem can be decompose by five sub-problem and solved with these mathematical models.3.Propose target-grouping method based on satellite observation information and UAV capability constraints.By combining observation information from satellite and other aerospace resource,the essay optimizes UAV resource and applies DBSCAN clustering algorithm to the issue of determining the number of UAV,solving the problem of planning the number of UAV.Meanwhile,by combing UAV capability constraints,the essay comes up with diffusion degree index of mobile target movement(diffusion coefficient)and divides the maritime moving targets into groups by K-means clustering algorithm,solving the problem of UAV quantity determination and task partitioning.4.Establish the UAV mission planning model and propose the algorithm.After completing one observation of the moving targets by the UAV mission planning model,the path is planed again to accomplish the observation of moving targets on the basis of previous observations.In view of this,the essay combines the movement feature of mobile target and proposes the potential region's structure process of the moving targets and the method of calculating target probability density distribution.Moreover,by considering the characteristics of the potential region's structure,the essay skillfully transforms the solution set of the UAV path planning model,reducing the computational complexity of the genetic algorithm.5.Study application case.The essay takes the moving targets in the adjacent sea areas of China as a research study case.By UPDM-driven calculation and STK simulation,it illustrates the logical feasibility and availability of the method for tracking the moving targets in the space-sky synergy.The algorithm is also used to obtain a set of planning schemes,which illustrate the effectiveness and feasibility of both the model and algorithm.
Keywords/Search Tags:Earth Satellite, Unmanned Aerial Vehicle (UAV), Aerospace Cooperative, Maritime Moving Target, Cooperative Strategy
PDF Full Text Request
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