| With the development of Earth observation technology,remote sensing users,user needs and types of demand are gradually increasing,and these changes increase the instability of the mission planning environment.The traditional offline planning mode relies on ground-level decision-making,and it is difficult to achieve rapid response to the environment.In order to adapt to dynamic demands,it is necessary to improve the ability of satellite online dynamic planning and observation.Agile satellites have the ability to perform a wide range of fast attitude maneuvers,enabling rapid response to observed targets.Multi-satellite network collaborative geostationary remote sensing can increase the observation window of the mission,enrich the image type of observation,and improve the response speed to the dynamic environment with stronger observation capability.The problem of Multi-satellite imaging mission planning is a typical large-scale coordination problem involving resources and time.Considering that the constraints are more complex,the system members need real-time independent planning according to their own state,and the dynamic changes of the online observation environment will lead to disturbance of the system observation program.Firstly,this paper establishes the aerodynamic imaging model of agile satellites,and introduces the main coordinate system,conversion relationship and attitude description form,and then analyze the satellite geostationary observation geometry,deduceds imaging attitude,calculation method of target visibility,and method of online orbit prediction.Secondly,the Multi-satellite distributed online task planning problem is modeled,the constraints of the problem are analyzed,and the planning effectiveness evaluation and optimization target establishment method are designed.The Multi-satellite negotiation mission allocation and planning solution framework based on the contract network protocol is designed.The operation methods and processes of each part of the bidding and bidding process under the contract network protocol are expounded respectively.The single-satellite level mission dynamic programming algorithm is designed and corresponding.A variety of mission assignment forms are designed,and the methods of task bidding and task evaluation are designed.Combined with various dynamic task examples,the effectiveness and efficiency of the algorithm are verified by simulation.Later,typical dynamic missions such as non-cooperative mobile targets were studied.The characteristics of the moving target task are analyzed,and the online task planning of the moving target is described.The generation method of the potential target task of the moving target is designed.The mission planning and tracking method of the marine moving target is designed under the framework of Multi-satellite collaborative task planning and solving,and the planning effectiveness evaluation method is studied.Several sets of simulation examples are designed to test the feasibility of the algorithm.Finally,the online planning problem of sensitive target,the dynamic imaging task,is explored.The mechanism of relying contract network based on link bidding is proposed.The method of generating sensitive targets to sensitive tasks is given.The online collaborative task assignment and planning method for multi-class remote sensors is used to evaluate the sensitivity evaluation methods of sensitive tasks.The set of indicators for evaluation is given.The effectiveness and efficiency of the algorithm are simulated and verified.Based on the Multi-satellite online collaborative geostationary mission planning problem,this paper deeply analyzes the dynamic mission and designs a contract algorithm framework based on network contract protocol for Multi-satellite collaborative mission planning.The corresponding mission planning algorithms are designed for two typical current dynamic tasks.The efectiveness is verified by simulation and performance evaluation. |
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