Fault diagnosis in linear systems via sliding mode observers

Zhirabok, Alexey; Shumsky, Alexey; Zuev, Alexander

doi:10.1080/00207179.2019.1590738

Cited by 28 publications

(15 citation statements)

References 27 publications

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“…Consider the method to solve these conditions and to construct the model ( 8 ) invariant with respect to the disturbance that enables solving the problem of exact fault identification. Note that if such a model does not exist, the problem of approximate fault identification can be solved [ 13 ].…”

Section: Reduced Order Model Designmentioning

confidence: 99%

“…Sliding mode observers are used for unknown input estimation and fault identification (reconstruction) in different systems [ 7 , 8 , 9 , 10 , 11 , 12 , 13 ] and for fault tolerant control [ 14 , 15 ]. To ensure the existence of sliding motion, the system should be minimum phase; that is, the invariant zeroes of the system must be stable and the matching condition must be satisfied [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

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Fault Identification in Electric Servo Actuators of Robot Manipulators Described by Nonstationary Nonlinear Dynamic Models Using Sliding Mode Observers

Zuev

Zhirabok

Filaretov

et al. 2022

Sensors

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The problem of fault identification in electric servo actuators of robot manipulators described by nonstationary nonlinear dynamic models under disturbances is considered. To solve the problem, sliding mode observers are used. The suggested approach is based on the reduced order model of the original system having different sensitivity to faults and disturbances. This model is realized in canonical form that enables relaxing the limitation imposed on the original system. Theoretical results are illustrated by practical example.

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Section: Reduced Order Model Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fault Identification in Electric Servo Actuators of Robot Manipulators Described by Nonstationary Nonlinear Dynamic Models Using Sliding Mode Observers

Zuev

Zhirabok

Filaretov

et al. 2022

Sensors

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“…Скользящие наблюдатели используются для идентификации дефектов в линейных [20][21][22][23][24], нелинейных [25][26][27] и сингулярных системах [28], для обеспечения отказоустойчивого управления [29][30][31], в ряде практических приложений [32][33][34].…”

Section: методы идентификации дефектовunclassified

Fault Identification in Mobile Robot groups using Sliding Mode Observers

Сергиенко¹,

Жирабок²

2021

Proceedings of ISP RAS

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The paper studies the emerging trends in advanced computing and information technology for efficient solutions of fault identification problem for mobile robot groups under the unmatched disturbances. The sliding mode observers are considered for mentioned problem solution. It facilitates the concept of Smart everything inside the considered robotic group during its generalized control: smart surrounding sensing, communication, processing, and scanned data storing. The suggested novel approach to sliding mode observer design is based on obtaining the reduced order model of the initial system. This allows reduce the complexity of sliding mode observer and relax restrictions imposed on the initial system.

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“…It is that section where sliding motion ensures, and any deviation from this sliding area results in an observer failure to converge. A large proportion of literature associated with the SMO method has been studied for several systems, such as switching systems [12,13], linear systems [14], and markovian jump systems [15].…”

Section: Introductionmentioning

confidence: 99%

Sliding Mode Observer-Based Fault Detection in Continuous Time Linear Switched Systems

et al. 2022

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This paper studies the problem of fault detection for continuous time linear switched systems in the presence of disturbance. For this purpose, a fault detection sliding mode observer approach is designed to generate the residual signal. To minimize the effect of disturbance from the residual, the problem is formulated into H∞ filtering technique to increase more robustness. To deal with the issue of the switched systems stability, the Lyapunov-Krasovskii functional method is utilized along with average dwell time, and linear matrix inequalities are formulated to derive the sufficient conditions. The residual signal is evaluated, and an adaptive threshold is computed for both modes of the switched system. Finally, a simulation example for a case study of boost converter and a numerical example with both abrupt and incipient faults are illustrated to prove the efficacy of the proposed method.

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Fault diagnosis in linear systems via sliding mode observers

Cited by 28 publications

References 27 publications

Fault Identification in Electric Servo Actuators of Robot Manipulators Described by Nonstationary Nonlinear Dynamic Models Using Sliding Mode Observers

Fault Identification in Electric Servo Actuators of Robot Manipulators Described by Nonstationary Nonlinear Dynamic Models Using Sliding Mode Observers

Fault Identification in Mobile Robot groups using Sliding Mode Observers

Sliding Mode Observer-Based Fault Detection in Continuous Time Linear Switched Systems

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