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dc.contributor.authorHosseini, Marzieh
dc.contributor.authorKaasinen, Anna
dc.contributor.authorLink, Guido
dc.contributor.authorLähivaara, Timo
dc.contributor.authorVauhkonen, Marko
dc.date.accessioned2021-04-30T08:25:13Z
dc.date.available2021-04-30T08:25:13Z
dc.date.issued2020
dc.identifier.urihttps://erepo.uef.fi/handle/123456789/24950
dc.description.abstractThe microwave drying process is a widely used technology in the drying of porous dielectric materials. Designing a controller for moisture distribution in this process can improve product quality and reduce energy consumption and production time. In this paper, a model-based controller for moisture distribution in an industrial microwave drying process is developed. The moisture and temperature in this process are described by a pair of partial differential equations (PDEs) and have both temporal and spatial variations. In this view, using a semi-discrete finite element approximation, the coupled system of PDEs is transformed into a system of ordinary differential equations (ODEs). Based on the discretized ODEs, a linear quadratic regulator (LQR) controller is designed to determine the power levels of multiple microwave sources in this process to reach and maintain the desired moisture level. Numerical simulations are carried out in three different drying scenarios. The results show that the proposed controller achieves a very good performance in tracking the desired moisture level.
dc.language.isoenglanti
dc.publisherElsevier BV
dc.relation.ispartofseriesIFAC-PapersOnLine
dc.relation.urihttp://dx.doi.org/10.1016/j.ifacol.2020.12.586
dc.rightsCC BY-NC-ND https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectdistributed parameter systems
dc.subjectlinear quadratic regulator (LQR) control
dc.subjectfinite element method
dc.subjectmicrowave drying
dc.subjectmoisture control
dc.titleLQR Control of Moisture Distribution in Microwave Drying Process Based on a Finite Element Model of Parabolic PDEs
dc.description.versionpublished version
dc.contributor.departmentDepartment of Applied Physics, activities
uef.solecris.id78384749en
dc.type.publicationArtikkelit ja abstraktit tieteellisissä konferenssijulkaisuissa
dc.rights.accessrights© 2020 Authors
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020-EU.1.3.1./764902/EU/Smart tomographic sensors for advanced industrial process control/TOMOCON
dc.relation.doi10.1016/j.ifacol.2020.12.586
dc.description.reviewstatuspeerReviewed
dc.format.pagerange11470-11476
dc.relation.issn2405-8971
dc.relation.issue2
dc.relation.volume53
dc.rights.accesslevelopenAccess
dc.type.okmA4
uef.solecris.openaccessOpen access -julkaisukanavassa ilmestynyt julkaisu


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