分组故障检测证据融合多星故障隔离算法
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(西北工业大学自动化学院,西安710129)

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E-mail: chengym@nwpu.edu.cn.

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TN967.1

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Multi-satellite faults isolation algorithm based on group fault detection and evidences fusion
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(College of Automation,Northwestern Polytechnical University,Xián710129,China)

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    摘要:

    针对卫星导航星座数增加导致的多星故障率上升问题,提出一种分组故障检测证据融合多星故障隔离算法.该算法首先将可见星分组并作为证据,利用故障检测量计算每个证据的故障置信指派和正常置信指派;然后,针对加权分配冲突法融合结果受证据融合次序影响的问题,给出一种基于可靠程度的权值计算方法,实现加权分配冲突法的多证据融合,并得到当前卫星的单星故障置信指派和正常置信指派信息;最后,利用所有卫星的单星故障置信指派均值作为故障隔离阈值,实现故障卫星隔离.在GPS/BDS双星座导航模式下,对算法的分组个数与故障隔离效果关系进行分析,并将其与随机搜索法及置信指数法进行多星故障隔离效果对比,理论分析与实验结果表明所提出算法具有更高的准确性.

    Abstract:

    In allusion to the increased possibility of multi-satellite faults resulting from the increase of navigation satellite constellation, a multi-satellite faults isolation algorithm based on group fault detection and evidences fusion is proposed. Firstly, all visible satellites are divided into groups and each group is taken as an evidence, and the fault and fault-free belief assignment of every evidence is calculated by fault detection. Then, a reliability based weight calculation method is proposed to realize the multi-evidence fusion in the weighted distribution method, so the situation that fusion result varies with fusion order can be deal with, and the fault and fault-free belief assignment of current satellites can be obtained. Finally, the fault satellites are isolated by taking the mean of all single satellite fault belief assignment as the fault isolation threshold. The relationship between faults isolation effect and group number of the proposed method is analyzed in GPS/BDS navigation mode. Furthermore, contrastive analysis is done among the faults isolation effect of the random search method, the quality value method and the proposed method, which verifies the effectiveness and superiority of the proposed algorithm.

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王会宾,程咏梅,樊伟,等.分组故障检测证据融合多星故障隔离算法[J].控制与决策,2019,34(6):1265-1270

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  • 在线发布日期: 2019-05-09
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