New fuzzy approximate model for indirect adaptive control of distributed solar collectors

Handle URI:
http://hdl.handle.net/10754/564937
Title:
New fuzzy approximate model for indirect adaptive control of distributed solar collectors
Authors:
Elmetennani, Shahrazed ( 0000-0001-7608-8713 ) ; Laleg-Kirati, Taous-Meriem ( 0000-0001-5944-0121 )
Abstract:
This paper studies the problem of controlling a parabolic solar collectors, which consists of forcing the outlet oil temperature to track a set reference despite possible environmental disturbances. An approximate model is proposed to simplify the controller design. The presented controller is an indirect adaptive law designed on the fuzzy model with soft-sensing of the solar irradiance intensity. The proposed approximate model allows the achievement of a simple low dimensional set of nonlinear ordinary differential equations that reproduces the dynamical behavior of the system taking into account its infinite dimension. Stability of the closed loop system is ensured by resorting to Lyapunov Control functions for an indirect adaptive controller.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Applied Mathematics and Computational Science Program; Electrical Engineering Program
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)
Conference/Event name:
2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014
Issue Date:
Jun-2014
DOI:
10.1109/eais.2014.6867464
Type:
Conference Paper
ISBN:
9781479933471
Appears in Collections:
Conference Papers; Applied Mathematics and Computational Science Program; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorElmetennani, Shahrazeden
dc.contributor.authorLaleg-Kirati, Taous-Meriemen
dc.date.accessioned2015-08-04T07:25:41Zen
dc.date.available2015-08-04T07:25:41Zen
dc.date.issued2014-06en
dc.identifier.isbn9781479933471en
dc.identifier.doi10.1109/eais.2014.6867464en
dc.identifier.urihttp://hdl.handle.net/10754/564937en
dc.description.abstractThis paper studies the problem of controlling a parabolic solar collectors, which consists of forcing the outlet oil temperature to track a set reference despite possible environmental disturbances. An approximate model is proposed to simplify the controller design. The presented controller is an indirect adaptive law designed on the fuzzy model with soft-sensing of the solar irradiance intensity. The proposed approximate model allows the achievement of a simple low dimensional set of nonlinear ordinary differential equations that reproduces the dynamical behavior of the system taking into account its infinite dimension. Stability of the closed loop system is ensured by resorting to Lyapunov Control functions for an indirect adaptive controller.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.titleNew fuzzy approximate model for indirect adaptive control of distributed solar collectorsen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentApplied Mathematics and Computational Science Programen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journal2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)en
dc.conference.date2 June 2014 through 4 June 2014en
dc.conference.name2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014en
kaust.authorElmetennani, Shahrazeden
kaust.authorLaleg-Kirati, Taous-Meriemen
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