航空学报 > 2007, Vol. 28 Issue (4): 791-795

人工智能在航天飞行任务规划中的应用研究

席政   

  1. 北京航空航天大学 宇航学院
  • 收稿日期:2006-05-22 修回日期:2006-10-25 出版日期:2007-07-10 发布日期:2007-07-10
  • 通讯作者: 席政

Study on Mission Planning of Spaceflight Applying Artificial Intelligence

XI Zheng   

  1. College of Astronautics, Beijing University of Aeronautics and Astronautics
  • Received:2006-05-22 Revised:2006-10-25 Online:2007-07-10 Published:2007-07-10
  • Contact: XI Zheng

摘要:

在航天飞行任务中,如何设计航天器的飞行过程,如何确定地面对航天器的控制操作,如何制定飞行控制计划等,是地面飞行控制中心面临的重大问题,也是航天飞行任务规划所要解决的基本问题。在充分认识和把握人工智能基本原理、方法和技术的基础上,提出了一个基于规则演绎和状态演化的生长式推理模型,并对模型的特性进行了详细讨论,然后导出了该模型在航天飞行任务规划问题中的具体形式,从而成功地解决了航天任务自动规划的难题。通过在实际航天任务中的应用和验证,不仅证明该模型和方法是正确的、可行的和高效的,而且证明人工智能在航天飞行任务规划中有着广阔的应用前景。

关键词: 航天飞行, 任务规划, 人工智能, 生长式推理模型, 事件集, 规则集

Abstract:

In space mission, how to design the flight process of spacecraft, how to design the ground operation procedure and how to make flight control plan are important problems faced by a flight control center, which are the basic problems of mission planning of spaceflight. With the fully understanding of basic theory, method and technology of Artificial Intelligence, the Derived Reasoning Model (DRM) is put forward, which is based on rule deduction and state evolution. The details about this model are discussed.

Key words: spaceflight,  , mission , planning,  , artificial , intelligence,  , derived , reasoning , model,  , event , set,  , rule , set

中图分类号: