NDLI: Two-stage unscented Kalman filter algorithm for fault estimation in spacecraft attitude control system

Content Provider	IET Digital Library
Author	Chen, Xueqin Sun, Rui Wang, Feng Song, Daozhe Jiang, Wancheng
Abstract	The study of fault/bias estimation based on the two-stage Kalman filter and the unscented Kalman filter in the presence of unknown random biases is addressed. Two kinds of faults are taken into account: additive faults and multiplicative faults, which are modelled as actuator faults and sensor faults in the spacecraft attitude control system (ACS). In accordance with the characteristic of the fault model of ACS, where the system state and the faults are decoupled, a novel two-stage unscented Kalman filter (TSUKF) algorithm is developed to estimate the decoupled states and biases simultaneously. By employing the unscented transform, the TSUKF algorithm does not need any linearisation of non-linear system models or the augmentation of the state, contributing to a more precise estimation. Meanwhile the computational cost is reduced by exploiting the bias-separate principle. The simulation results demonstrate the proposed algorithm when a micro-spacecraft is tracking a stable/manoeuvring target.
Starting Page	1781
Ending Page	1791
Page Count	11
ISSN	17518644
Volume Number	12
e-ISSN	17518652
Issue Number	Issue 13, Sep (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/12/13
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2017.1369
Journal	IET Control Theory & Applications
Publisher Date	2018-04-10
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	ACS Actuator Fault Actuators Additive Fault Attitude Control Bias-separate Principle Decoupled States Fault Diagnosis Fault Estimation Fault Model Fault/bias Estimation Filtering Method in Signal Processing Kalman Filter MicroSpacecraft Multiplicative Fault Nonlinear Filter Nonlinear System Model Precise Estimation Sensor Fault Signal Processing Theory Space Vehicle Spacecraft Attitude Control System Stage Unscented Kalman Filter Algorithm Statistics System State TSUKF Algorithm Two-stage Kalman Filter Two-stage Unscented Kalman Filter Algorithm Unknown Random Biases
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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