Method for Fault Identification in Nonlinear Systems Based on Sliding-Mode Observers

2021 ◽  
Vol 60 (1) ◽  
pp. 9-21
Author(s):  
A. N. Zhirabok ◽  
A. V. Zuev ◽  
A. E. Shumskii
Keyword(s):  
Nonlinear Systems ◽  
Sliding Mode ◽  
Fault Identification ◽  
Sliding Mode Observers

Sensor fault identification in technical systems based on sliding mode observers

2019 ◽  
pp. 21-28
Author(s):  
Alexey N. Zhirabok ◽  
Alexander V. Zuev ◽  
Alexey Ye. Shumsky
Keyword(s):  
Sliding Mode ◽  
Fault Identification ◽  
Sensor Fault ◽  
Technical Systems ◽  
Sliding Mode Observers

scholarly journals Multisensor Fault Identification Scheme Based on Decentralized Sliding Mode Observers Applied to Reconfigurable Manipulators

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Bo Zhao ◽  
Yuanchun Li
Keyword(s):  
Sliding Mode ◽  
Sliding Mode Observer ◽  
Fault Identification ◽  
Stable Theory ◽  
Sensor Fault ◽  
Identification Scheme ◽  
Neural Network Controller ◽  
Network Controller ◽  
Sliding Mode Observers ◽  
Reconfigurable Manipulators

This paper concerns with a fault identification scheme in a class of nonlinear interconnected systems. The decentralized sliding mode observer is recruited for the investigation of position sensor fault or velocity sensor fault. First, a decentralized neural network controller is proposed for the system under fault-free state. The diffeomorphism theory is utilized to construct a nonlinear transformation for subsystem structure. A simple filter is implemented to convert the sensor fault into pseudo-actuator fault scenario. The decentralized sliding mode observer is then presented for multisensor fault identification of reconfigurable manipulators based on Lyapunov stable theory. Finally, two 2-DOF reconfigurable manipulators with different configurations are employed to verify the effectiveness of the proposed scheme in numerical simulation. The results demonstrate that one joint’s fault does not affect other joints and the sensor fault can be identified precisely by the proposed decentralized sliding mode observer.

Fault Identification in Non-Stationary Systems Based on Sliding Mode Observers

2021 ◽  
Vol 22 (12) ◽  
pp. 625-633
Author(s):  
A. V. Zuev ◽  
A. N. Zhirabok ◽  
V. F. Filaretov ◽  
A. A. Protsenko
Keyword(s):  
Canonical Form ◽  
Sliding Mode ◽  
Original System ◽  
Matching Condition ◽  
Observer Design ◽  
Fault Identification ◽  
New Approach ◽  
Minimal Dimension ◽  
Sliding Mode Observers ◽  
Traditional Approaches

The paper is devoted to the problem of fault identification in technical systems described by non-stationary nonlinear dynamic equations under unmatched disturbances. To solve the problem, sliding mode observers are used. The suggested ap- proach is based on the model of the original system of minimal dimension having different sensitivity to the faults and distur- bances in contrast to the traditional approaches to sliding observer design which are based on the original system. Additionally it is assumed that matrices describing such a model have the canonical form and are constant. The main purpose of using such a model is possibility to take into account the non-stationary feature of the systems. As a result, the model has stationary dynamic and non-stationary additional term that allows to promote sliding mode design. Besides, the new approach to design sliding mode observers is suggested. The peculiarity of this approach is that it does not require that original systems should be minimum phase and detectable. According to the traditional approaches stability of the observer is provided by minimum phase and detectability properties. In our approach, stability of the observer is achieved due to the canonical form of the matrices describing the model. In addition, the matching condition is not necessary. This allows to extend a class of systems for which sliding mode observers can be designed. Theoretical results are illustrated by practical example of electric servoactuator.

Fault identification based on sliding mode observers with relaxed existence conditions

2021 ◽  
Vol 64 (4) ◽  
pp. 255-263
Author(s):  
A.N. Zhirabok ◽  
A.V. Zuev ◽  
V.F. Filaretov ◽  
A.E. Shumsky
Keyword(s):  
Sliding Mode ◽  
Fault Identification ◽  
Existence Conditions ◽  
Sliding Mode Observers
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