Počet záznamů: 1
Fault Diagnosis Scheme for Nonlinear Stochastic Systems with Time-Varying Fault: Application to the Rigid Spacecraft Control
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SYSNO ASEP 0383283 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Ostatní články Název Fault Diagnosis Scheme for Nonlinear Stochastic Systems with Time-Varying Fault: Application to the Rigid Spacecraft Control Tvůrce(i) Nguyen, H.Q. (CZ)
Čelikovský, Sergej (UTIA-B) RID, ORCIDCelkový počet autorů 2 Zdroj.dok. Cybernetics and Physics. - : Rossiiskaya Akademiya Nauk - ISSN 2223-7038
Roč. 1, č. 3 (2012), s. 179-187Poč.str. 8 s. Forma vydání Internet - Internet Jazyk dok. eng - angličtina Země vyd. RU - Rusko Klíč. slova Attitude control ; adaptive fault estimation ; LMI ; PDF Vědní obor RIV BC - Teorie a systémy řízení CEP GAP103/12/1794 GA ČR - Grantová agentura ČR Institucionální podpora UTIA-B - RVO:67985556 Anotace 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. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2013
Počet záznamů: 1