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人工智能在卫星任务规划中的应用
引用本文:朱战霞,杨博,袁建平.人工智能在卫星任务规划中的应用[J].飞行力学,2008,26(1):79-82.
作者姓名:朱战霞  杨博  袁建平
作者单位:西北工业大学,航天学院,陕西,西安,710072
摘    要:智能规划与调度是实现卫星自主规划其飞行任务的关键。将人工智能方法应用于卫星的任务规划,以执行对地观测任务为例,将任务规划问题归于组合优化问题,建立了相应的数学模型,并应用Hopfield神经网络算法进行求解,结果表明,该方法可用于单个仪器的任务规划。

关 键 词:对地观测  任务规划  人工智能  Hopfield神经网络算法  组合优化
文章编号:1002-0853(2008)01-0079-04
收稿时间:2007-01-16
修稿时间:2007-09-20

The Application of Artificial Intelligence to Scheduling Satellites' Missions
ZHU Zhan-xia,YANG Bo,YUAN Jian-ping.The Application of Artificial Intelligence to Scheduling Satellites'''' Missions[J].Flight Dynamics,2008,26(1):79-82.
Authors:ZHU Zhan-xia  YANG Bo  YUAN Jian-ping
Abstract:This intelligent scheduling is one of the key technologies for planning the satellites' missions autonomously.An artificial intelligence method is used in scheduling the missions of satellites.When satellites fulfill earth observation missions,we put the mission scheduling problem into this combined optimal problem.Above all,a set of mathematical models of this problem is set up.And then,the combined optimal problem is studied by using the Hopfield neural network algorithm.Final,some computer simulations are performed.The results show that the model is valid and the Hopfield neural network algorithm can be used in scheduling one instrument missions.
Keywords:earth observation  mission scheduling  artificial intelligence  Hopfield neural network algorithm  combined optimal
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