DocumentCode :
3138685
Title :
Fault parametric detection using flatness property of systems
Author :
Belgacem, Abir ; Jerbi, Houssem ; Abdkerim, Mohamed Naceur
Author_Institution :
Nat. Eng. Sch. of Gabes (ENIG), Univ. of Gabes, Gabes, Tunisia
fYear :
2011
fDate :
22-25 March 2011
Firstpage :
1
Lastpage :
4
Abstract :
This paper deals with the detection and estimation of fault parameter in nonlinear systems. Our main contribution in this work consists in the synthesis of a flat moving horizon estimator for a supervision industrial process. The effectiveness of the proposed method is shown through the supervise of a series DC motor. The obtained results are very satisfactory in terms of detection rapidity and precision relatively to the case where the classic state estimator is adopted.
Keywords :
fault diagnosis; industrial control; nonlinear control systems; parameter estimation; fault parameter detection; fault parameter estimation; moving horizon estimation; nonlinear systems; series DC motor; supervision industrial process; system flatness property; DC motors; Estimation; Fault detection; Friction; Immune system; Integrated circuit modeling; Resistance; Fault detection; Flat moving horizon estimator; Flatness; Optimisation; Serie´s DC motor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Signals and Devices (SSD), 2011 8th International Multi-Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4577-0413-0
Type :
conf
DOI :
10.1109/SSD.2011.5767419
Filename :
5767419
Link To Document :
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