期刊
ACTA ASTRONAUTICA
卷 163, 期 -, 页码 287-298出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.actaastro.2018.11.001
关键词
Multi-Agent System; Task clustering; Allocation and collaboration; Mission planning
资金
- National Natural Science Foundation of China [11672126]
- National Key Research and Development Program of China [2016YFB0500801]
- Key Laboratory of Space Utilization, Chinese Academy of Sciences [LSU-2016-04-01]
- Foundation of Graduate Innovation Center in NUAA [kfjj20171509]
To overcome the issues of inflexible interactive mode, low negotiation efficiency and poor dynamic response capability of satellite clusters, we propose a new multi-dimensional and multi-Agent clusters collaboration model (MDMA-CCM), including task pre-processing, allocation, scheduling and re-planning under failed conditions. First, the task clustering based pre-processing method is adopted to improve the observation efficiency by combining potential targets. Second, the Contract Net Protocol (CNP) based secondary allocation strategy is developed to effectively increase the observation benefit and reduce the impact of task conflicts through announcement, bidding and awarding. Third, a new Interactively Re-planning Method (IRM) is proposed to effectively reduce the loss by re-inserting tasks in case of failure. Simulation results show that the new planning model not only has obvious advantages in calculation time, but also outperforms the centralized multi-Agent system in terms of benefit value and completion rate.
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