Dynamic fault detection and accommodation for dissipative distributed processes

Authors:
Antonios Armaou;Michael A. Demetriou
Affiliations:
Department of Chemical Engineering, The Pennsylvania State University, University Park, PA;Department of Mechanical Engineering, Worcester Polytechnic Institute, Worcester, MA
Venue:
ACC'09 Proceedings of the 2009 conference on American Control Conference
Year:
2009

Citing 4
Cited 0

Robust adaptive control

Robust adaptive control
On-Line Parameter Estimation for Infinite-Dimensional Dynamical Systems

SIAM Journal on Control and Optimization
Robust model-based fault diagnosis for dynamic systems

Robust model-based fault diagnosis for dynamic systems
Model-Based Fault Diagnosis in Dynamic Systems Using Identification Techniques

Model-Based Fault Diagnosis in Dynamic Systems Using Identification Techniques

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Abstract

This paper proposes a nonlinear detection observer for the component fault detection and accommodation of nonlinear distributed processes. Specifically, the proposed results constitute an extension to previous work which utilized a linear observer for both detection and diagnosis of component faults for the same class of nonlinear distributed processes. An advantage of the proposed nonlinear observer is not simply the inclusion of nonlinear dynamics terms in the detection and diagnostic observers, but also the inclusion of such additional information in the expression for the dynamic residual threshold. Such an improved version of a dynamic threshold contributes to the robustness of the detection scheme and minimizes fault detection time. Finally, an adaptive diagnostic observer is proposed that is subsequently utilized in an automated control reconfiguration scheme that accommodates the component faults.