摘要
以卫星姿态控制系统(ACS)为研究对象,以微小故障检测为研究目标,提出一种改进的近邻保持嵌入算法(EWMA-DNPE).针对近邻保持嵌入(NPE)算法中邻域参数无法自动设定的缺陷,通过引入动态邻域,使得动态近邻保持嵌入算法(DNPE)可根据流形的样本密度动态地选取近邻点计算权值重构矩阵.将指数加权移动平均(EWMA)引入DNPE,通过EWMA对历史故障数据的累加作用,建立SPE统计量实现微小故障的检测,并仿真验证了EWMA-DNPE算法对卫星ACS微小故障检测的有效性和可行性.
In this paper,an advanced neighborhood preserving embedding method combined with exponentially weighted moving average（ EWMA-DNPE） is proposed in incipient fault detection for satellite＇s attitude control system（ ACS）. Considering the artificial set of neighborhood parameters in neighborhood preserving embedding（ NPE） algorithm,the dynamic neighborhood selection is introduced,so that the weights reconstruction matrix can be selected according to the sample density of the manifold. On the basis of this,the EWMA-DNPE algorithm is used to establish the squared prediction error（ SPE） statistic in fault detection（ FD） by exponentially weighted moving average（ EWMA）. The case study on a simulated satellite ACS demonstrates the effectiveness and feasibility of the proposed method.
作者
刘敏
陆宁云
肇刚
姜斌
LIU Min;LU Ningyun;ZHAO Gang;JIANG Bin(College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;Xi＇ an Satellite Measure- ment and Control Center, Xi＇ an 710043, China.)
出处
《空间控制技术与应用》
CSCD
北大核心
2018年第2期42-48,共7页
Aerospace Control and Application
基金
航天器在轨故障诊断与维修重点实验室基金
装备预研国防科技重点实验室基金(61422080307)~~
关键词
卫星姿态控制系统
微小故障检测
近邻保持嵌入
近邻参数
attitude control system
incipient fault detection
neighborhood preserving embedding
neighborhood parameters
