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Communication Dans Un Congrès Année : 2015

Robust sensor fault detection and isolation of an anerarobic bioreactor modeled as a descriptor-LPV system

Résumé

This work is dedicated to the design of a robust fault detection system for an anaerobic bioreactor modeled as a Descriptor Linear Parameter Varying system (D-LPV) system with unmeasurable gain scheduling functionss. The main goals are: first, an accurate D-LPV representation of the nonlinear model is obtained by considering the sector nonlinearity modeling approach. Second, a LPV observer is designed to estimate the bioprocess states variables. The observer considers the gains scheduling functions depending on estimated states due to the lack of a biomass mass sensor. Third, in oder to perform fault detection and isolation, by mean of residual generation, a bank of observers is designed. For each observer, sufficient conditions to guarantee asymptotic stability and robustness against disturbance are given by a set of feasible Linear Matrix Inequalities (LMIs). Finally, some simulations in fault-free and faulty operations are considered on the bioreactor system.
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Dates et versions

hal-01211208 , version 1 (03-10-2015)

Identifiants

  • HAL Id : hal-01211208 , version 1

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Francisco-Ronay Lopez-Estrada, José Castañon-Gonzalez, Jean-Christophe Ponsart, Didier Theilliol, Carlos Manuel Astorga Zaragoza. Robust sensor fault detection and isolation of an anerarobic bioreactor modeled as a descriptor-LPV system. 1st IFAC Workshop on Linear Parameter Varying systems, LPVS 2015, Oct 2015, Grenoble, France. ⟨hal-01211208⟩
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