Fault-tolerant state estimation of linear Gaussian systems subject to additive faults

Owing to the need for the satisfaction of attributes such as safety, maintainability, and reliability in modern critical engineering devices, the design of automatic feedback control systems has increasingly demanding fault-tolerant methods. In particular, if the system states cannot directly be mea...

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Bibliographic Details
Main Author: Davi Antônio dos Santos
Other Authors: Takashi Yoneyama
Format: Others
Language:English
Published: Instituto Tecnológico de Aeronáutica 2011
Subjects:
Online Access:http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=1917
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spelling ndltd-IBICT-oai-agregador.ibict.br.BDTD_ITA-oai-ita.br-19172019-01-22T03:12:48Z Fault-tolerant state estimation of linear Gaussian systems subject to additive faults Davi Antônio dos Santos Takashi Yoneyama Estimação de estado Tolerância a falhas Teoria de filtragem Processamento de sinais Análise estatística Modelos matemáticos Controle preditivo Controle Absorvedores de radiação Owing to the need for the satisfaction of attributes such as safety, maintainability, and reliability in modern critical engineering devices, the design of automatic feedback control systems has increasingly demanding fault-tolerant methods. In particular, if the system states cannot directly be measured by the available suite of sensors, a fault-tolerant state estimation method turns out to be of paramount importance for achieving fault tolerance. In this context, the present thesis formulates a fault-tolerant state estimation (FTSE) problem consisting of a joint state and fault estimation of linear systems subject to additive faults. The system is described by a discrete-time linear Gaussian state-space model, where the fault appears as unknown inputs affecting both the state and measurement equations. The sequence of fault inputs is assumed to be parameterizable by three fault parameters: the fault magnitude, the fault instant, and the fault mode index. Moreover, these parameters are treated as unknown realizations of random variables (RV) that are defined so as to account for prior knowledge about possible faults. For tackling the above FTSE problem, the present work introduces a fault-tolerant two-stage (FTTS) filtering approach, from which three different FTTS filters are derived by considering three plausible alternative characterizations of the fault magnitude RV. On the basis of computational simulations, one of the FTTS filters is illustrated on a fault-tolerant model predictive control (MPC) scheme for satellite attitude control. 2011-08-10 info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/doctoralThesis http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=1917 eng info:eu-repo/semantics/openAccess application/pdf Instituto Tecnológico de Aeronáutica reponame:Biblioteca Digital de Teses e Dissertações do ITA instname:Instituto Tecnológico de Aeronáutica instacron:ITA
collection NDLTD
language English
format Others
sources NDLTD
topic Estimação de estado
Tolerância a falhas
Teoria de filtragem
Processamento de sinais
Análise estatística
Modelos matemáticos
Controle preditivo
Controle
Absorvedores de radiação
spellingShingle Estimação de estado
Tolerância a falhas
Teoria de filtragem
Processamento de sinais
Análise estatística
Modelos matemáticos
Controle preditivo
Controle
Absorvedores de radiação
Davi Antônio dos Santos
Fault-tolerant state estimation of linear Gaussian systems subject to additive faults
description Owing to the need for the satisfaction of attributes such as safety, maintainability, and reliability in modern critical engineering devices, the design of automatic feedback control systems has increasingly demanding fault-tolerant methods. In particular, if the system states cannot directly be measured by the available suite of sensors, a fault-tolerant state estimation method turns out to be of paramount importance for achieving fault tolerance. In this context, the present thesis formulates a fault-tolerant state estimation (FTSE) problem consisting of a joint state and fault estimation of linear systems subject to additive faults. The system is described by a discrete-time linear Gaussian state-space model, where the fault appears as unknown inputs affecting both the state and measurement equations. The sequence of fault inputs is assumed to be parameterizable by three fault parameters: the fault magnitude, the fault instant, and the fault mode index. Moreover, these parameters are treated as unknown realizations of random variables (RV) that are defined so as to account for prior knowledge about possible faults. For tackling the above FTSE problem, the present work introduces a fault-tolerant two-stage (FTTS) filtering approach, from which three different FTTS filters are derived by considering three plausible alternative characterizations of the fault magnitude RV. On the basis of computational simulations, one of the FTTS filters is illustrated on a fault-tolerant model predictive control (MPC) scheme for satellite attitude control.
author2 Takashi Yoneyama
author_facet Takashi Yoneyama
Davi Antônio dos Santos
author Davi Antônio dos Santos
author_sort Davi Antônio dos Santos
title Fault-tolerant state estimation of linear Gaussian systems subject to additive faults
title_short Fault-tolerant state estimation of linear Gaussian systems subject to additive faults
title_full Fault-tolerant state estimation of linear Gaussian systems subject to additive faults
title_fullStr Fault-tolerant state estimation of linear Gaussian systems subject to additive faults
title_full_unstemmed Fault-tolerant state estimation of linear Gaussian systems subject to additive faults
title_sort fault-tolerant state estimation of linear gaussian systems subject to additive faults
publisher Instituto Tecnológico de Aeronáutica
publishDate 2011
url http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=1917
work_keys_str_mv AT daviantoniodossantos faulttolerantstateestimationoflineargaussiansystemssubjecttoadditivefaults
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