Title :
Data-driven fault detection design for satellite´s attitude control system
Author :
Lijun Song ; Jiongqi Wang ; Zheng Hu ; Haiyin Zhou
Author_Institution :
Coll. of Basic Educ., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
The object of this paper is to address data-driven fault detection design for satellite´s attitude control system with different data characteristics, which includes the establishment and the evaluation of the detection statistics. Firstly, a simple T2 detection statistic is constructed for stale data. Then, a mid-value smoothing method based on data-driven is proposed to cope with the unstable data. For the system without baseline data, a predicting and modeling method is applied to generate the residual statistic. Finally, an input-output system identification method is studied to search a model structure for the control system including both tahe control input and the measured output. The proposed approaches are driven by pure data and are evaluated by using an example of a satellite´s attitude control system, and excellent results are obtained.
Keywords :
artificial satellites; attitude control; fault diagnosis; identification; smoothing methods; T2 detection statistic; baseline data; data characteristics; data-driven fault detection design; detection statistics; input-output system identification method; mid-value smoothing method; model structure; modeling method; predicting method; residual statistic; satellite attitude control system; stale data; tahe control input; Autoregressive processes; Monitoring; Predictive models; Sensor phenomena and characterization; Sensor systems; Smoothing methods; data smoothing; fault detection; satellite control; system identification; time-series modeling prediction;
Conference_Titel :
Prognostics and System Health Management Conference (PHM-2014 Hunan), 2014
Conference_Location :
Zhangiiaijie
Print_ISBN :
978-1-4799-7957-8
DOI :
10.1109/PHM.2014.6988171
