Input fault detection and estimation using PI observer based on the ARX-Laguerre model

This work is dedicated to the synthesis of a new fault detection and identification scheme for the actuator and/or sensor faults modeled as unknown inputs of the system. The novelty of this scheme consists in the synthesis of a new structure of proportional-integral observer (PIO) reformulated from...

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Bibliographic Details
Published in:	International journal of advanced manufacturing technology Vol. 90; no. 5-8; pp. 1317 - 1336
Main Authors:	Najeh, Tawfik, Ben Njima, Chakib, Garna, Tarek, Ragot, José
Format:	Journal Article
Language:	English
Published:	London Springer London 01.05.2017 Springer Nature B.V Springer Verlag
Subjects:	Actuators Automatic CAE) and Design Computer simulation Computer-Aided Engineering (CAD Engineering Engineering Sciences Fault detection Genetic algorithms Industrial and Production Engineering Linear matrix inequalities Mathematical analysis Mathematical models Matrix methods Mechanical Engineering Media Management Original Article Proportional integral Synthesis ARX-Laguerre model LMI Pole optimization Diagnosis Genetic algorithm PIO
ISSN:	0268-3768, 1433-3015
Online Access:	Get full text
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