摘要
为提高导弹武器控制系统故障定位效率,提出了基于测试信息熵的故障诊断路径规划方法。通过建立控制系统测试性分析模型,构造系统故障-测试扩展相关矩阵,进而求解得到测试序列对应的信息熵度量。再以信息熵最大为唯一约束条件,采用迭代搜索方法,形成可用于故障隔离路径规划的二叉树,并对路径规划过程进行了数据仿真。结果证明,本算法能够自适应地规划故障诊断路径,保证了平均加权路径最短,提高了故障诊断整体效率。
An optimal path planning method is proposed in order to improve the efficiency of the fault localization for control system of launch vehicle.The spreading correlation matrix for the relationship between faults and tests of the control system is firstly established,which is based on testable analysis model,subsequently,the information entropy of the test sequences is calculated.Then,the binary tree for fault isolation path planning is determined by iterative search algorithm by considering that the optimization target is the maximum entropy.The simulation is implemented and the validity of the method is proven by the results, which shows the fault diagnosis path can be planned adaptively and the efficiency is improved evidently with the shortest weighted path.
作者
周虎
卢波
刘清竹
Zhou Hu;Lu Bo;Liu Qingzhu(Beijing Aerospace Automatic Control Institute,Beijing 100854,China;National Key Laboratory of Science and Technology on Aerospace Intelligence Control,Beijing 100854,China)
出处
《航天控制》
CSCD
北大核心
2018年第6期76-82,共7页
Aerospace Control
关键词
测试
信息熵
故障诊断
路径规划
最优化
Test
Information entropy
Fault diagnosis
Path planning
Optimization
