北京航空航天大学学报 ›› 2008, Vol. 34 ›› Issue (10): 1228-1231.

• 论文 • 上一篇    下一篇

一种快速推理技术在发射决策系统中的应用

李清东1, 刘成瑞2, 任 章2   

  1. 1. 西北工业大学 航海学院, 西安 710072;
    2. 北京航空航天大学 自动化科学与电气工程学院, 北京 100191
  • 收稿日期:2007-10-26 出版日期:2008-10-30 发布日期:2010-09-16
  • 作者简介:李清东(1978-),男,辽宁沈阳人,博士生,muziqingdong@126.com.
  • 基金资助:

    空间智能控制技术国防科技重点实验室基金资助项目(SIC07030201)

Fast inference algorithm of launching decision-making expert system for launch vehicle

Li Qingdong1, Liu Chengrui2, Ren Zhang2   

  1. 1. Marine Engineering College, Northwestern Polytechnical University, Xi-an 710072, China;
    2. School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
  • Received:2007-10-26 Online:2008-10-30 Published:2010-09-16

摘要: 发射决策系统是在测试发射段对运载火箭进行故障诊断的专家系统,发射决策系统的推理技术需要适应运载火箭测试项目繁多,测试数据量庞大、更新快速,可供诊断的时间有限等特点.快速推理技术分为事实匹配和规则匹配2个环节,借鉴Rete匹配算法的设计思想,提出了事实匹配网络结构,提出规则和黑板的向量表示方法,定义向量与运算实现规则匹配,构建规则匹配网络完成规则匹配.在某型号运载火箭发射决策系统中的应用结果表明,快速推理法推理速度快,推理结果准确,程序实现占用系统资源少,满足实时性要求.

Abstract: The launching decision-making system is an expert system which can diagnose the faults of the launch vehicle during the pre-launch testing and give the auxiliary repair strategy and launch decision. In order to achieve the quick fault diagnosis, the launching decision-making expert system should use a fast inference algorithm because there are massive test data need to be processed and the time for diagnosis is quite short. Therefore, a fast inference algorithm including the fact-matching and rule-matching was presented. The fact-matching network was borrowed ideas from the rete algorithm. And the rule-matching network was performed based on the vectors calculation. Finally, a fast inference algorithm suitable for pre-launch FDD (fault detection and diagnosis) of launch vehicle was given. The presented algorithm has been applied in a distributed FDD expert system for a real of launch vehicle. Preliminary results indicate that the algorithm reasons more quickly and more accurately with less system resource consumption, and can meet the real-time requirements.

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