DocumentCode :
728141
Title :
Integrated identification and accommodation of sensor faults in networked distributed processes with communication delays
Author :
Di Peng ; El-Farra, Nael H.
Author_Institution :
Dept. of Chem. Eng. & Mater. Sci., Univ. of California, Davis, Davis, CA, USA
fYear :
2015
fDate :
1-3 July 2015
Firstpage :
1284
Lastpage :
1289
Abstract :
This paper considers the problem of sensor fault-tolerant control of a class of spatially distributed systems subject to discrete and delayed sensor-controller communication. An integrated approach that combines data-based fault identification and stability-based fault accommodation is developed on the basis of a suitable reduced-order model of the infinite-dimensional system. A moving-horizon parameter estimation scheme is developed to estimate on-line the size and location of the faults using the sampled output and input data. Once the location and magnitude of the fault are identified and communicated to the controller, fault accommodation takes place by means of adjusting the controller and estimator design parameters, and/or adjusting the control actuator locations. The selection of the appropriate strategy is made based on the estimated fault size and the characterization of the networked closed-loop stability region. The results are illustrated using a simulated diffusion-reaction process example.
Keywords :
closed loop systems; control system synthesis; delays; discrete systems; fault tolerant control; multidimensional systems; networked control systems; parameter estimation; predictive control; reduced order systems; stability; communication delay; controller design parameter; data-based fault identification; diffusion-reaction process; discrete system; infinite-dimensional system; moving-horizon parameter estimation scheme; networked closed-loop stability; networked distributed process; reduced-order model; sensor fault tolerant control; stability-based fault accommodation; Actuators; Delays; Eigenvalues and eigenfunctions; Estimation; Predictive models; Stability analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2015
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4799-8685-9
Type :
conf
DOI :
10.1109/ACC.2015.7170910
Filename :
7170910
Link To Document :
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