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dc.contributor.author
Zumoffen, David Alejandro Ramon
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dc.contributor.author
Basualdo, Marta Susana
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dc.contributor.author
Jordan, Mario Alberto
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dc.contributor.author
Ceccatto, Hermenegildo A.
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dc.date.available
2017-12-14T15:35:52Z
dc.date.issued
2007-12
dc.identifier.citation
Zumoffen, David Alejandro Ramon; Basualdo, Marta Susana; Jordan, Mario Alberto; Ceccatto, Hermenegildo A.; Robust Adaptive Predictive Fault-Tolerant Control Integrated to a Fault-Detection System Applied to a Nonlinear Chemical Process; American Chemical Society; Industrial & Engineering Chemical Research; 22; 12-2007; 7152-7163
dc.identifier.issn
0888-5885
dc.identifier.uri
http://hdl.handle.net/11336/30600
dc.description.abstract
Most of the control schemes for chemical plants are developed under the assumption that the sensors and the actuators are free from faults. However, the occurrence of faults will cause degradation in the closed-loop performance, having an impact on safety, productivity, and plant economy. In this work, the main novelty is given by the enhancement produced through the integration of the fault detection and identification (FDI) system over a robust adaptive predictive control (RAPC) strategy specially thought to turn it as a fault- tolerant control (FTC) scheme. Additionally, the FDI itself is original because of the sensor and actuator faults treatment. The biases in sensors are detected and quantified by using wavelet decomposition and the extra delays in actuators by applying online identification techniques to appropriately modify the controller action. It is important to remark that the extra time delay, detected particularly at the actuators, is a problem that occurs frequently in practice; however, the academic community has mostly omitted it up to now. This methodology can improve the overall performance for nonlinear stable plants because the FDI is specifically designed as a complement of those aspects that RAPC cannot handle at all. The control technique involves a commutation of a linear time-varying robust filter in the feedback path of the control loop in synchronization with an adaptive predictive controller. Through simulation studies of a continuous stirred tank reactor (CSTR) with jacket, where the integration between FDI and FTC has been implemented, it can be shown that the proposed methodology leads to significant improvement in comparison with the same control scheme without FDI, particularly when the fault magnitude increases.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
American Chemical Society
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject.classification
Ingeniería de Sistemas y Comunicaciones
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dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
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dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
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dc.title
Robust Adaptive Predictive Fault-Tolerant Control Integrated to a Fault-Detection System Applied to a Nonlinear Chemical Process
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-11-30T17:04:33Z
dc.journal.number
22
dc.journal.pagination
7152-7163
dc.journal.pais
Estados Unidos
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dc.journal.ciudad
Washington, DC
dc.description.fil
Fil: Zumoffen, David Alejandro Ramon. Universidad Tecnológica Nacional; Argentina
dc.description.fil
Fil: Basualdo, Marta Susana. Universidad Tecnológica Nacional; Argentina
dc.description.fil
Fil: Jordan, Mario Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina
dc.description.fil
Fil: Ceccatto, Hermenegildo A.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; Argentina
dc.journal.title
Industrial & Engineering Chemical Research
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://pubs.acs.org/journal/iecred
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1021/ie070019b
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