On the fault diagnosis problem for non-linear systems: A fuzzy sliding-mode observer approach¹

Article type: Research Article

Authors: Castillo-Toledo, B. | Di Gennaro, S. | Anzurez-Marin, J.

Affiliations: CINVESTAV-IPN Unidad Guadalajara, Av. Científica, Col. El Bajío, Zapopan, 45010, Jalisco, México | Department of Electrical and Information Engineering, and Center of Excellence DEWS University of L'Aquila, Poggio di Roio, L'Aquila, Italy | Department of Electrical Engineering, Universidad Michoacana de San Nicol´s Hidalgo, Morelia, México

Note: [] Corresponding author. E-mail: [email protected] (B. Castillo-Toledo); [email protected] (S. Di Gennaro); [email protected] (J. Anzurez-Marin).

Note: [] 1Work supported by the Consejo Nacional de Ciencia y Tecnología (Conacyt, México), by the Secretaría de Relaciones Exteriores (S.R.E.México), by the Consiglio Nazionale delle Ricerche (C.N.R., Italy), and by the Ministero degli Affari Esteri (M.A.E., Italy).

Abstract: In this paper we propose a solution to the model-based fault diagnosis problem for the class of non-linear dynamic systems subjected to be described by a Takagi-Sugeno fuzzy model. A fuzzy observer is designed to estimate the system's state vector and to derive a diagnostic signal-residual. The residual is generated by the comparison of the measured and the estimated outputs. The proposed scheme has been satisfactorily tested in simulation and in a real-time benchmark given by a Two-Tank Hydraulic System.

Keywords: Fault diagnosis, Fuzzy system, Takagi-Sugeno fuzzy models, Fuzzy Observers

DOI: 10.3233/IFS-2009-0427

Journal: Journal of Intelligent & Fuzzy Systems, vol. 20, no. 4, 5, pp. 187-199, 2009