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

dc.conference.date2 June 2014 through 4 June 2014
dc.conference.name2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014
dc.contributor.authorElmetennani, Shahrazed
dc.contributor.authorLaleg-Kirati, Taous-Meriem
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.date.accessioned2015-08-04T07:25:41Z
dc.date.available2015-08-04T07:25:41Z
dc.date.issued2014-06
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.
dc.identifier.citationElmetennani, S., & Laleg-Kirati, T. M. (2014). New fuzzy approximate model for indirect adaptive control of distributed solar collectors. 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS). doi:10.1109/eais.2014.6867464
dc.identifier.doi10.1109/eais.2014.6867464
dc.identifier.isbn9781479933471
dc.identifier.journal2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)
dc.identifier.urihttp://hdl.handle.net/10754/564937
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.titleNew fuzzy approximate model for indirect adaptive control of distributed solar collectors
dc.typeConference Paper
display.details.left<span><h5>Type</h5>Conference Paper<br><br><h5>Authors</h5><a href="https://repository.kaust.edu.sa/search?query=orcid.id:0000-0001-7608-8713&spc.sf=dc.date.issued&spc.sd=DESC">Elmetennani, Shahrazed</a> <a href="https://orcid.org/0000-0001-7608-8713" target="_blank"><img src="https://repository.kaust.edu.sa/server/api/core/bitstreams/82a625b4-ed4b-40c8-865a-d6a5225a26a4/content" width="16" height="16"/></a><br><a href="https://repository.kaust.edu.sa/search?query=orcid.id:0000-0001-5944-0121&spc.sf=dc.date.issued&spc.sd=DESC">Laleg-Kirati, Taous-Meriem</a> <a href="https://orcid.org/0000-0001-5944-0121" target="_blank"><img src="https://repository.kaust.edu.sa/server/api/core/bitstreams/82a625b4-ed4b-40c8-865a-d6a5225a26a4/content" width="16" height="16"/></a><br><br><h5>KAUST Department</h5><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.department=Applied Mathematics and Computational Science Program,equals">Applied Mathematics and Computational Science Program</a><br><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.department=Computational Bioscience Research Center (CBRC),equals">Computational Bioscience Research Center (CBRC)</a><br><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.department=Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division,equals">Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division</a><br><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.department=Electrical Engineering Program,equals">Electrical Engineering Program</a><br><br><h5>Date</h5>2014-06</span>
display.details.right<span><h5>Abstract</h5>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.<br><br><h5>Citation</h5>Elmetennani, S., & Laleg-Kirati, T. M. (2014). New fuzzy approximate model for indirect adaptive control of distributed solar collectors. 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS). doi:10.1109/eais.2014.6867464<br><br><h5>Publisher</h5><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.publisher=Institute of Electrical and Electronics Engineers (IEEE),equals">Institute of Electrical and Electronics Engineers (IEEE)</a><br><br><h5>Journal</h5><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.journal=2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS),equals">2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)</a><br><br><h5>Conference/Event Name</h5><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.conference=2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014,equals">2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014</a><br><br><h5>DOI</h5><a href="https://doi.org/10.1109/eais.2014.6867464">10.1109/eais.2014.6867464</a></span>
kaust.personElmetennani, Shahrazed
kaust.personLaleg-Kirati, Taous-Meriem
orcid.authorElmetennani, Shahrazed::0000-0001-7608-8713
orcid.authorLaleg-Kirati, Taous-Meriem::0000-0001-5944-0121
orcid.id0000-0001-5944-0121
orcid.id0000-0001-7608-8713
Files