引用本文:刘娇娇,薛婷,钟麦英.基于事件触发强跟踪滤波的卫星系统故障估计[J].控制理论与应用,2025,42(2):272~280.[点击复制]
LIU Jiao-jiao,XUE Ting,ZHONG Mai-ying.An event-triggered strong tracking filter approach to fault estimation for satellite systems[J].Control Theory and Technology,2025,42(2):272~280.[点击复制]
基于事件触发强跟踪滤波的卫星系统故障估计
An event-triggered strong tracking filter approach to fault estimation for satellite systems
摘要点击 2131  全文点击 22  投稿时间:2022-08-18  修订日期:2024-09-06
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DOI编号  10.7641/CTA.2023.20739
  2025,42(2):272-280
中文关键词  卫星姿态控制  执行机构故障  动态事件触发机制  强跟踪滤波器  增广系统
英文关键词  satellite attitude control  actuator faults  dynamic event-triggered mechanism  strong tracking filter  augmented system
基金项目  国家自然科学基金项目(62233012, 62103247), 山东省泰山学者特聘教授项目资助.
作者单位E-mail
刘娇娇 山东科技大学 liujjwzw@163.com 
薛婷 山东科技大学  
钟麦英* 山东科技大学 myzhong@sdust.edu.cn 
中文摘要
      针对卫星姿态控制系统执行机构故障估计问题, 本文提出一种基于动态事件触发的强跟踪滤波(STF)方法.通过将系统执行机构故障增广为系统状态向量, 在动态事件触发机制下, 采用STF方法设计故障估计器, 并对估计器进行线性化处理得到状态估计误差系统, 从而实现增广状态估计误差与事件触发误差完全解耦. 基于此, 故障估计器的设计问题转化为寻找能够最小化增广状态估计误差协方差的滤波器增益矩阵, 且增益矩阵的设计与事件参数设置相互独立. 与现有的事件触发故障估计方法相比, 本文所提方法的主要贡献在于能够使得增广状态估计误差与事件触发误差完全解耦. 最后, 通过一个卫星姿态控制系统验证了所提算法的有效性.
英文摘要
      A dynamic event-triggered strong tracking filter (STF) approach to actuator fault estimation of satellite attitude control system is proposed in this paper. Under the dynamic event-triggered mechanism, an STF based fault estimator is designed by augmenting the actuator fault as a system state vector, and then a state estimation error system is obtained by linearizing such an estimator. In this way, the full-decoupling of the augmented state estimation error from the eventtriggered transmission error is realized. Based on this, the design problem of the fault estimator is converted into finding a filter gain matrix that can minimize the covariance of the augmented state estimation error. It is shown that the design of the filter gain matrix is independent from the event parameters. Compared with the existing event-triggered fault estimation approaches, the novelty of the proposed method lies in its capability to achieve a full-decoupling of the augmented state estimation error from the event-triggered transmission error. Finally, a simulation experiment is carried out on a satellite attitude control system to show the effectiveness of the proposed method.