مجلة جامعة وهران 2
Volume 8, Numéro 1, Pages 14-20
2023-07-30
Fault Diagnosis Of Nlpv Fuzzy System
Authors : Righi Ines .
Abstract
This paper deals with the Fault Detection and Diagnosis (FDD) design for a Nonlinear Parameter Varying (NLPV) descriptor system, subject to external disturbances, and actuator faults. The purpose is to synthesize a robust observer of NLPV model with unmeasurable premise variables, and its application to fault isolation and estimation. In order to design the FDD scheme, a Proportional-Integral (PI) observer is adopted which estimate both of the faults and the faulty system states. A conventional fault detection scheme is considered by means of residual generation and evaluation. A robust approach is considered to minimize the effect of uncertainties given by the nonlinearities, the unmeasurable premise variables, and disturbance. As a result, a set of relaxed linear Matrix Inequalities (LMIs) are derived, which provides sufficient conditions to guarantee the convergence of the proposed observer. Finally, an example is given to show the effectiveness of the proposed method.
Keywords
: Fault Diagnosis, actuator fault detection, Proportional-Integral (PI) residual generator observer, approach, NLPV system.
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