Sliding mode observers based-simultaneous actuator and sensor faults estimation for linear parameter varying systems
type: Item
instance of: scholarly article
title: Sliding mode observers based-simultaneous actuator and sensor faults estimation for linear parameter varying systems
zbMATH Open document ID: 1426.93189
DOI: 10.1155/2017/1747095
author: Ali Ben Brahim
author: Slim Dhahri
author: Fayçal Ben Hmida
author: Anis Sallami
published in: Mathematical Problems in Engineering
publication date: 2018-11-05T00:00:00Z
review text: Summary: This paper proposes a scheme to estimate actuator and sensor faults simultaneously for a class of linear parameter varying system expressed in polytopic structure where its parameters evolve in the hypercube domain. Transformed coordinate system design is adopted to decouple faults in actuators and sensors during the course of the system's operation coincidentally, and then two polytopic subsystems are constructed. The first subsystem includes the effect of actuator faults but is free from sensor faults and the second one is affected only by sensor faults. The main contribution is to conceive two polytopic sliding mode observers in order to estimate the system states and actuator and sensor faults at the same time. Meanwhile, in linear matrix inequality optimization formalism, sufficient conditions are derived with \(H_{\infty}\) performances to guarantee the stability of estimation error and to minimize the effect of disturbances. Therefore, all parameters of observers can be designed by solving these conditions. Finally, simulation results are given to illustrate the effectiveness of the proposed simultaneous actuator and sensor faults estimation.
Mathematics Subject Classification ID: 93C73
Mathematics Subject Classification ID: 93B07
Mathematics Subject Classification ID: 93B12
zbMATH DE Number: 6971790
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2017/1747095
OpenAlex ID: W2774530064
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description: scientific article; zbMATH DE number 6971790