An event-triggered strong tracking filter approach to fault estimation for satellite systems
LIU Jiao-jiao
XUE Ting
ZHONG Mai-ying
Abstract：A dynamic event-triggered strong tracking filter(STF)approach to actuator fault estimation of satellite atti-tude 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 event-triggered 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.
Keywords：satellite attitude controlactuator faultsdynamic event-triggered mechanismstrong tracking filteraug-mented system
Publication Date：2025-02-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：9( 272-280 )