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Design of nonlinear unknown input observer for process fault detection / Jafar Zarei in Industrial & engineering chemistry research, Vol. 49 N° 22 (Novembre 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 22 (Novembre 2010) . - pp. 11443–11452 Titre : Design of nonlinear unknown input observer for process fault detection Type de document : texte imprimé Auteurs : Jafar Zarei, Auteur ; Javad Poshtan, Auteur Année de publication : 2011 Article en page(s) : pp. 11443–11452 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Nonlinear  dynamic  system Résumé : The objective of this paper is to design a robust fault detection scheme for nonlinear systems. A novel procedure for the design of a nonlinear unknown input observer (UIO) is proposed. The basic principle of unknown input observers is to decouple disturbances from the state estimation error. In the proposed method, the linear UIO design algorithm is extended to nonlinear systems and then observer gain is obtained using unscented transformation (UT). To illustrate the efficiency of the proposed method, it is adopted to detect sensor faults of a highly nonlinear dynamic system. The faulty behavior of output sensors in a jacketed continuous stirred tank reactor (CSTR) is investigated. A single full-order observer is designed to detect sensor faults in the presence of unknown inputs (disturbances). Simulation results show that disturbances and, therefore, a certain degree of model uncertainties can be distinguished from a response to a sensor fault. DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie100477m [article] Design of nonlinear unknown input observer for process fault detection [texte imprimé] / Jafar Zarei, Auteur ; Javad Poshtan, Auteur . - 2011 . - pp. 11443–11452. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 22 (Novembre 2010) . - pp. 11443–11452 Mots-clés : Nonlinear  dynamic  system Résumé : The objective of this paper is to design a robust fault detection scheme for nonlinear systems. A novel procedure for the design of a nonlinear unknown input observer (UIO) is proposed. The basic principle of unknown input observers is to decouple disturbances from the state estimation error. In the proposed method, the linear UIO design algorithm is extended to nonlinear systems and then observer gain is obtained using unscented transformation (UT). To illustrate the efficiency of the proposed method, it is adopted to detect sensor faults of a highly nonlinear dynamic system. The faulty behavior of output sensors in a jacketed continuous stirred tank reactor (CSTR) is investigated. A single full-order observer is designed to detect sensor faults in the presence of unknown inputs (disturbances). Simulation results show that disturbances and, therefore, a certain degree of model uncertainties can be distinguished from a response to a sensor fault. DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie100477m