Fault Diagnosis Scheme for Nonlinear Stochastic Systems with Time-Varying Fault: Application to the Rigid Spacecraft Control

Nguyen, H.Q.; Čelikovský, Sergej

Number of the records: 1

Fault Diagnosis Scheme for Nonlinear Stochastic Systems with Time-Varying Fault: Application to the Rigid Spacecraft Control

1.

SYSNO ASEP	0383283
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Ostatní články
Title	Fault Diagnosis Scheme for Nonlinear Stochastic Systems with Time-Varying Fault: Application to the Rigid Spacecraft Control
Author(s)	Nguyen, H.Q. (CZ) Čelikovský, Sergej (UTIA-B)_{RID, ORCID}
Number of authors	2
Source Title	Cybernetics and Physics. - : Rossiiskaya Akademiya Nauk - ISSN 2223-7038 Roč. 1, č. 3 (2012), s. 179-187
Number of pages	8 s.
Publication form	Internet - Internet
Language	eng - English
Country	RU - Russian Federation
Keywords	Attitude control ; adaptive fault estimation ; LMI ; PDF
Subject RIV	BC - Control Systems Theory
R&D Projects	GAP103/12/1794 GA ČR - Czech Science Foundation (CSF)
Institutional support	UTIA-B - RVO:67985556
Annotation	This paper studies the problem of the fault estimation for a class of time-varying faults using output probability density function (PDF). In particular, the spacecraft control system is studied. First, the attitude control of the nonlinear model with uncertainties is given. Then, the measured output is viewed as a stochastic process and its PDF is modeled, which leads to a deterministic dynamical model including nonlinearities and uncertainties. A new adaptive fault diagnosis algorithm is proposed to improve the performance of the fault estimation. The proposed algorithm contains both the proportional and the integral term. The proportional term can improve the speed of the fault estimation, while the integral term can eliminate estimation error. Then, based on the linear matrix inequality (LMI) technique, a feasible algorithm is explored to find the designed parameters. Finally, simulation results of the spacecraft are given to show the efficiency of the proposed approach.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2013

Number of the records: 1