Actuator multiplicative fault estimation in discrete-time LPV systems using switched observers

This paper proposes an observer for the joint state and fault estimation devoted to discrete-time linear parameter varying (LPV) systems subject to actuator faults. The major contribution of this work is that the observer is able to estimate multiplicative faults, contrarily to the existing approach...

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Detalles Bibliográficos
Autores: Rotondo, Damiano|||0000-0002-8855-5582, López Estrada, Francisco Ronay, Nejjari Akhi-Elarab, Fatiha|||0000-0001-9118-632X, Ponsart, J. C., Theilliol, Didier, Puig Cayuela, Vicenç|||0000-0002-6364-6429
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/100106
Acceso en línea:https://hdl.handle.net/2117/100106
https://dx.doi.org/10.1016/j.jfranklin.2016.06.007
Access Level:acceso abierto
Palabra clave:Switching circuits
Automatic control
Circuits de commutació
Control automàtic
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
Descripción
Sumario:This paper proposes an observer for the joint state and fault estimation devoted to discrete-time linear parameter varying (LPV) systems subject to actuator faults. The major contribution of this work is that the observer is able to estimate multiplicative faults, contrarily to the existing approaches, that consider additive faults. The main characteristic of this observer is that it is scheduled not only by means of the endogenous varying parameters of the faulty model, but also by the input vector. Another contribution of this paper consists in adding a switching component in order to guarantee the feasibility of the conditions for designing the observer gains. It is proved that, as long as the input sequence satisfies some characteristics, the convergence of the observer error dynamics to zero is assured. A numerical example is used to demonstrate the effectiveness of the proposed strategy.