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dc.contributor.authorTurhan, Cihan
dc.contributor.authorSimani, Silvio
dc.contributor.authorZajic, Ivan
dc.contributor.authorGökçen Akkurt, Gülden
dc.date.accessioned2017-10-04T12:00:26Z
dc.date.available2017-10-04T12:00:26Z
dc.date.issued2017-01
dc.identifier.citationTurhan, C., Simani, S., Zajic, I., and Gökçen Akkurt, G. (2017, November 17-18). Analysis and application of advanced control strategies to a heating element nonlinear model. Paper presented at the 13th European Workshop on Advanced Control and Diagnosis. doi:10.1088/1742-6596/783/1/012027en_US
dc.identifier.issn1742-6588
dc.identifier.urihttp://doi.org/10.1088/1742-6596/783/1/012027
dc.identifier.urihttp://hdl.handle.net/11147/6309
dc.description13th European Workshop on Advanced Control and Diagnosis, ACD 2016; Hautes Etrudes d'Ingenieur (HEI)Lille; France; 17 November 2016 through 18 November 2016en_US
dc.description.abstractThis paper presents the design of different control strategies applied to a heating element nonlinear model. The description of this heating element was obtained exploiting a data-driven and physically meaningful nonlinear continuous-time model, which represents a test-bed used in passive air conditioning for sustainable housing applications. This model has low complexity while achieving high simulation performance. The physical meaningfulness of the model provides an enhanced insight into the performance and functionality of the system. In return, this information can be used during the system simulation and improved model- based and data-driven control designs for tight temperature regulation. The main purpose of this study is thus to give several examples of viable and practical designs of control schemes with application to this heating element model. Moreover, extensive simulations and Monte- Carlo analysis are the tools for assessing experimentally the main features of the proposed control schemes, in the presence of modelling and measurement errors. These developed control methods are also compared in order to evaluate advantages and drawbacks of the considered solutions. Finally, the exploited simulation tools can serve to highlight the potential application of the proposed control strategies to real air conditioning systems.en_US
dc.language.isoengen_US
dc.publisherIOP Publishingen_US
dc.relation.isversionof10.1088/1742-6596/783/1/012027en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectHeatingen_US
dc.subjectAir conditioningen_US
dc.subjectMonte Carlo methoden_US
dc.subjectTemperature regulationsen_US
dc.subjectElectric heating elementsen_US
dc.titleAnalysis and application of advanced control strategies to a heating element nonlinear modelen_US
dc.typeconferenceObjecten_US
dc.contributor.authorIDTR103337en_US
dc.contributor.authorIDTR130569en_US
dc.contributor.institutionauthorTurhan, Cihan
dc.contributor.institutionauthorGökçen Akkurt, Gülden
dc.relation.journal13th European Workshop on Advanced Control and Diagnosisen_US
dc.contributor.departmentİYTE, Mühendislik Fakültesi, Makina Mühendisliği Bölümüen_US
dc.identifier.volume783en_US
dc.identifier.issue1en_US
dc.identifier.scopusSCOPUS:2-s2.0-85012950047
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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