Fault identification in nonlinear dynamic systems not satisfying matching, minimum phase, and detectability conditions

The paper studies the fault identification problem for nonlinear control systems under unmatched disturbances. A novel approach to construct a sliding mode observer is proposed for systems that do not satisfy common conditions required for fault estimation, in particular matching condition, minimum...

Full description

Saved in:
Bibliographic Details
Published in:International journal of systems science 2022-05, Vol.53 (7), p.1390-1400
Main Authors: Zhirabok, Alexey, Zuev, Alexander, Filaretov, Vladimir, Shumsky, Alexey
Format: Article
Language:English
Subjects:
Canonical forms
Disturbances
Dynamical systems
fault
identification
Nonlinear control
Nonlinear dynamics
Nonlinear systems
Phase matching
reduced order model
Reduced order models
sliding mode observer
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The paper studies the fault identification problem for nonlinear control systems under unmatched disturbances. A novel approach to construct a sliding mode observer is proposed for systems that do not satisfy common conditions required for fault estimation, in particular matching condition, minimum phase condition, and detectability conditions. The suggested approach is based on the reduced order model of the original system and on the canonical form of matrices describing such a model. This allows to reduce the complexity of sliding mode observers and relax the limitations imposed on the original system. Three different cases for disturbances are considered and the appropriate solutions are suggested.
ISSN:0020-7721
1464-5319
DOI:10.1080/00207721.2021.2003471