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Task allocation strategies for cooperative task planning of multi-autonomous satellite constellation
Feng Yao Jiting Li Yuning Chen Xiaogeng Chu Bang Zhao 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2019,63(2):1073-1084
In recent years, the application of imaging satellites has entered a completely new stage, with the new demands such as rapid response to emergency events, observation of large-scale regional targets and multivariate data fusion, the multi-autonomous satellite constellation has been proposed. This paper first designs the structure of multi-autonomous satellite constellation, and a centralized-distributed structure is proposed. This structure could improve the dynamic response capacity of the whole constellation. Then, this paper adds adapted filtering mechanism to single autonomous satellite online scheduling algorithm to enhance its performance. This article also pays more attention on task allocation strategies of the master satellite in constellation, and ten different task allocation strategies based on five dimensions are analyzed by simulation experiments. At last, this paper extracts several characteristic features of the regular observation targets and designs a selector based on support vector machine (SVM). This selector could select an appropriate strategy according to the features of each experiment scenario. 相似文献
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阐述了美国空军和海军教练机装备发展现状,分析了美国空军和海军教练机装备联合发展的过程、原因以及优势,并结合我国空军和海军教练机的发展情况,得出我国空/海军教练机装备联合发展的几点启示。 相似文献
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The research of unmanned aerial vehicles'(UAVs')autonomy navigation and landing guidance with computer vision has important signifcance.However,because of the image blurring,the position of the cooperative points cannot be obtained accurately,and the pose estimation algorithms based on the feature points have low precision.In this research,the pose estimation algorithm of UAV is proposed based on feature lines of the cooperative object for autonomous landing.This method uses the actual shape of the cooperative-target on ground and the principle of vanishing line.Roll angle is calculated from the vanishing line.Yaw angle is calculated from the location of the target in the image.Finally,the remaining extrinsic parameters are calculated by the coordinates transformation.Experimental results show that the pose estimation algorithm based on line feature has a higher precision and is more reliable than the pose estimation algorithm based on points feature.Moreover,the error of the algorithm we proposed is small enough when the UAV is near to the landing strip,and it can meet the basic requirements of UAV's autonomous landing. 相似文献
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This study investigates cooperative guidance problems for multiple missiles with fixed and switching directed communication topologies.A two-step guidance strategy is proposed to realize the simultaneous attack.In the first step,a distributed cooperative guidance law is designed using local neighboring information for multiple missiles to achieve consensus on range-to-go and leading angle.The second step begins when the consensus of multiple missiles is realized.During the second step,multiple missiles disconnect from each other and hit the target using the proportional navigation guidance law.First,based on the local neighboring communications,a sufficient condition for multiple missiles to realize simultaneous attack with a fixed communication topology is presented,where the topology is only required to have a directed spanning tree.Then,the results are extended to the case of switching communication topologies.Finally,numerical simulations are provided to validate the theoretical results. 相似文献
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苏道明 《中国民航飞行学院学报》2011,22(1):18-22
本文首先分析总结了机场竞争力的形成机理,在此基础上提出了机场竞争力的评价原则,最后,构建了一套包含4个一级指标、16个二级指标和41个三级指标的机场竞争力评价指标体系,旨在通过这套评价体系对机场的竞争力发展水平进行评估,找出机场竞争力发展过程中的优势不足,为机场在市场竞争中提高竞争力水平和核心竞争力提供科学的参考依据. 相似文献
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In the interception engagement,if the target movement information is not accurate enough for the mid-course guidance of intercepting missiles,the interception mission may fail as a result of large handover errors.This paper proposes a novel cooperative mid-course guidance scheme for multiple missiles to intercept a target under the condition of large detection errors.Under this scheme,the launch and interception moments are staggered for different missiles.The earlier launched missiles can obtain a relatively accurate detection to the target during their terminal guidance,based on which the latter missiles are permitted to eliminate the handover error in the mid-course guidance.A significant merit of this scheme is that the available resources are fully exploited and less missiles are needed to achieve the interception mission.To this end,first,the design of cooperative handover parameters is formulated as an optimization problem.Then,an algorithm based on Monte Carlo sampling and stochastic approximation is proposed to solve this optimization problem,and the convergence of the algorithm is proved as well.Finally,simulation experiments are carried out to validate the effectiveness of the proposed cooperative scheme and algorithm. 相似文献
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分布式卫星编队飞行队形保持协同控制 总被引:3,自引:0,他引:3
针对分布式卫星编队飞行队形保持控制问题提出一种分布式协同控制算法,并给出该协同控制算法与编队卫星星间信息传递拓扑结构之间的关系。该协同控制算法以模型预测控制为基础,利用分布式编队卫星的自然特性以及编队卫星之间的信息传递拓扑结构,采用分布式的算法结构,设计分布式的模型预测协同控制算法。该控制算法是一种在线滚动优化控制算法,同时能够较好地解决存在状态约束、控制输入约束等情形下的各种控制问题。最后通过数值仿真验证了结果的有效性。仿真结果表明,当编队卫星星间信息传递拓扑结构中存在生成树时,提出的分布式协同控制算法能够有效地应用到编队卫星队形保持控制问题上来。 相似文献
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The continuous growth of air traffic has led to acute airspace congestion and severe delays, which threatens operation safety and cause enormous economic loss. Flight assignment is an economical and effective strategic plan to reduce the flight delay and airspace congestion by reasonably regulating the air traffic flow of China. However, it is a large-scale combinatorial optimization problem which is difficult to solve. In order to improve the quality of solutions, an effective multi-objective parallel evolution algorithm(MPEA) framework with dynamic migration interval strategy is presented in this work. Firstly, multiple evolution populations are constructed to solve the problem simultaneously to enhance the optimization capability. Then a new strategy is proposed to dynamically change the migration interval among different evolution populations to improve the efficiency of the cooperation of populations. Finally, the cooperative co-evolution(CC) algorithm combined with non-dominated sorting genetic algorithm II(NSGA-II) is introduced for each population. Empirical studies using the real air traffic data of the Chinese air route network and daily flight plans show that our method outperforms the existing approaches, multiobjective genetic algorithm(MOGA), multi-objective evolutionary algorithm based on decomposition(MOEA/D), CC-based multi-objective algorithm(CCMA) as well as other two MPEAs with different migration interval strategies. 相似文献