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dc.contributor.authorTurhan, Cihan
dc.contributor.authorSimani, Silvio
dc.contributor.authorZajic, Ivan
dc.contributor.authorGökçen Akkurt, Gülden
dc.date.accessioned2017-09-18T08:27:53Z
dc.date.available2017-09-18T08:27:53Z
dc.date.issued2017
dc.identifier.citationTurhan, C., Simani, S., Zajic, I., and Gökçen Akkurt, G. (2017). Performance analysis of data-driven and model-based control strategies applied to a thermal unit model. Energies, 10(1). doi:10.3390/en10010067en_US
dc.identifier.issn1996-1073
dc.identifier.urihttp://doi.org/10.3390/en10010067
dc.identifier.urihttp://hdl.handle.net/11147/6269
dc.description.abstractThe paper presents the design and the implementation of different advanced control strategies that are applied to a nonlinearmodel of a thermal unit. A data-driven grey-box identification approach provided the physically-meaningful nonlinear continuous-time model, which represents the benchmark exploited in this work. The control problem of this thermal unit is important, since it constitutes the key element of passive air conditioning systems. The advanced control schemes analysed in this paper are used to regulate the outflow air temperature of the thermal unit by exploiting the inflow air speed, whilst the inflow air temperature is considered as an external disturbance. The reliability and robustness issues of the suggested control methodologies are verified with a Monte Carlo (MC) analysis for simulating modelling uncertainty, disturbance and measurement errors. The achieved results serve to demonstrate the effectiveness and the viable application of the suggested control solutions to air conditioning systems. The benchmark model represents one of the key issues of this study, which is exploited for benchmarking different model-based and data-driven advanced control methodologies through extensive simulations. Moreover, this work highlights the main features of the proposed control schemes, while providing practitioners and heating, ventilating and air conditioning engineers with tools to design robust control strategies for air conditioning systems.en_US
dc.description.sponsorshipUniversity of Ferraraen_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.relation.isversionof10.3390/en10010067en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectArtificial intelligenceen_US
dc.subjectAdvanced control designen_US
dc.subjectThermal unit nonlinear systemen_US
dc.titlePerformance analysis of data-driven and model-based control strategies applied to a thermal unit modelen_US
dc.typearticleen_US
dc.contributor.authorIDTR103337en_US
dc.contributor.authorIDTR130569en_US
dc.contributor.iztechauthorTurhan, Cihan
dc.contributor.iztechauthorGökçen Akkurt, Gülden
dc.relation.journalEnergiesen_US
dc.contributor.departmentIzmir Institute of Technology. Energy Systems Engineeringen_US
dc.identifier.volume10en_US
dc.identifier.issue1en_US
dc.identifier.wosWOS:000392422500067
dc.identifier.scopusSCOPUS:2-s2.0-85009260532


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