Fault diagnosis scheme for nonlinear stochastic systems with time-varying fault: application to the rigid spacecraft control

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00197378" target="_blank" >RIV/68407700:21230/12:00197378 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/67985556:_____/12:00383283

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Fault diagnosis scheme for nonlinear stochastic systems with time-varying fault: application to the rigid spacecraft control

Popis výsledku v původním jazyce

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 spacecraftare given to show the efficiency of the proposed approach.

Název v anglickém jazyce

Fault diagnosis scheme for nonlinear stochastic systems with time-varying fault: application to the rigid spacecraft control

Popis výsledku anglicky

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 spacecraftare given to show the efficiency of the proposed approach.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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Projekt

<a href="/cs/project/GAP103%2F12%2F1794" target="_blank" >GAP103/12/1794: Pokročilé metody pro analýzu a řízení složitých systémů.</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Cybernetics and Physics

ISSN

2223-7038

e-ISSN

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Svazek periodika

1

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

RU - Ruská federace

Počet stran výsledku

9

Strana od-do

179-187

Kód UT WoS článku

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EID výsledku v databázi Scopus

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