Fault Estimation Based on Generalized Learning Observer for a Class of Nonlinear Algebro-Differential Parameter-Varying Systems

https://doi.org/10.58571/CNCA.AMCA.2023.022

Resumen: This paper presents the design of a generalized learning observer (GLO) structure for simultaneous estimation of variable states and actuator faults in a wider class of systems known as descriptor nonlinear parameter varying (D-NLPV) systems. This generalized structure provides additional degrees of freedom in the observer design to improve robustness and reduce the convergence time for fault estimation. Its design is obtained in terms of a set of linear matrix inequalities. The performance of the proposed methodology is evaluated in the model of a heat exchanger with two countercurrent cells with actuator faults.

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Zetina Rios, Israel Isaac; Osorio-Gordillo, Gloria-Lilia; Alma, Marouane; Darouach, Mohamed; Astorga-Zaragoza, Carlos. Fault Estimation Based on Generalized Learning Observer for a Class of Nonlinear Algebro-Differential Parameter-Varying Systems. Memorias del Congreso Nacional de Control Automático, pp. 1-6, 2023. https://doi.org/10.58571/CNCA.AMCA.2023.022

Palabras clave

Control de Sistemas No Lineales; Control de Sistemas Lineales; Detección y Aislamiento de Fallas

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