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Hybrid Fuzzy-PID Control in a Thermo Solar Power Plant Condenser

dc.contributor.authorSantos Peñas, Matilde
dc.contributor.authorLópez López, María Victoria
dc.contributor.authorRomera Cabrerizo, Juan Antonio
dc.date.accessioned2023-06-18T06:47:01Z
dc.date.available2023-06-18T06:47:01Z
dc.date.issued2015-12-02
dc.description.abstractIn this paper a predictive hybrid fuzzy-PID control system is designed to be applied in a thermo solar power plant. The intelligent control system keeps the level of the condenser at a desired value. The condenser is a complex element in the plant and the uncertainty that comes from the weather conditions at its inputs makes the control difficult. The dynamic of the system changes continually, depending on the solar resource. The intelligent fuzzy system combined with a conventional one shows good performance, proving that the synergy of these techniques improves the control action
dc.description.departmentDepto. de Arquitectura de Computadores y Automática
dc.description.facultyFac. de Informática
dc.description.refereedTRUE
dc.description.sponsorshipOPEMASOL, Operation and Maintenance company of Thermo solar power plants
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/33212
dc.identifier.doi10.1109/PIC.2014.6972413
dc.identifier.urihttps://hdl.handle.net/20.500.14352/24163
dc.issue.number697241
dc.journal.titlePIC 2014 - Proceedings of 2014 IEEE International Conference on Progress in Informatics and Computing
dc.language.isoeng
dc.page.final645
dc.page.initial641
dc.rights.accessRightsopen access
dc.subject.cdu004
dc.subject.keywordFuzzy logic
dc.subject.keywordIntelligent control
dc.subject.keywordThermo solar power plant
dc.subject.keywordPID controller
dc.subject.keywordCondenser
dc.subject.ucmInformática (Informática)
dc.subject.unesco1203.17 Informática
dc.titleHybrid Fuzzy-PID Control in a Thermo Solar Power Plant Condenser
dc.typejournal article
dcterms.references[1] M. Mikati, M. Santos, and C. Armenta. Electric grid dependence on the configuration of a small-scale wind and solar power hybrid system. Renewable Energy, 57, 587-593, 2013 [2] M. Mikati, M. Santos, and C. Armenta. Modeling and Simulation of a Hybrid Wind and Solar Power System for the Analysis of Electricity Grid Dependency. Revista Iberoamericana de Automática e Informática Industrial, vol. 9, no. 3, 267-281, 2012 [3] H. Price, E. Lupfert, D. Kearney, E. Zarza, G. Cohen, R. Mahoney, and R. Gee. Advances in parabolic trough solar power technology. Journal of solar energy engineering, 124(2), 109-125, 2002. [4] A.M. Patnode. Simulation and performance evaluation of parabolic trough solar power plants (Doctoral dissertation, University of Wisconsin), 2006. [5] Z. Ye, W.J. Cai, and C.C. Hang. PID control for multivariable processes (Vol. 373). Berlin: Springer, 2008. [6] I. Erenoglu and I. Eksin. An intelligent hybrid fuzzy PID controller. In European Conference on Modelling and Simulation 2006, pp. 62-67. [7] W. Li. Design of a hybrid fuzzy logic proportional plus conventional integral-derivative controller. Fuzzy Systems, IEEE Transactions on, 1998, 6, 4, pp. 449-463. [8] Z. Kovacic and S. Bogdan. Fuzzy controller design: theory and applications. CRC press, 2005. [9] E.H. Mamdani,. Application of fuzzy algorithms for control of simple dynamic plant. Proceedings of the Institution of Electrical Engineers. Vol. 121. No. 12. IET Digital Library, 1974. [10] K. Åström and T. Hägglund. Advanced PID control. ISA-The Instrumentation, Systems, and Automation Society; Research Triangle Park, NC 27709, 2006. [11] J.R. Dormand and P.J. Prince. A family of embedded Runge-Kutta formulae. Journal of computational and applied mathematics, 6(1), 19- 26, 1980.
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscovery99cac82a-8d31-45a5-bb8d-8248a4d6fe7f

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