Order Reduction Rules Based on Statistical Techniques for Inverse Response Processes

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dc.contributor.affiliationCastellanos, D., Faculty of Engineering, Universidad de Medellin, Medellín, Colombia
dc.contributor.affiliationCastrillon, F., School of Engineering, Universidad Pontificia Bolivariana, Medellín, Colombia
dc.contributor.affiliationCamacho, O., Escuela Politécnica Nacional, Automation and Industrial Control Department, Quito, Ecuador
dc.contributor.affiliationGutierrez, S., Faculty of Engineering, Universidad de Medellin, Medellín, Colombia
dc.contributor.affiliationPosada, N.L., School of Engineering, Universidad Pontificia Bolivariana, Medellín, Colombia
dc.contributor.authorCastellanos D.
dc.contributor.authorCastrillon F.
dc.contributor.authorCamacho O.
dc.contributor.authorGutierrez S.
dc.contributor.authorPosada N.L.
dc.date2020
dc.date.accessioned2021-02-05T14:58:27Z
dc.date.available2021-02-05T14:58:27Z
dc.descriptionIn this work, we present a set of rules that transforms the model of Inverse Response Second Order Plus Dead Time Process (IRSODT) and reduces it to a First Order Plus Dead Time (FOPDT) model. We describe the design process for the proposed rules, where we use Dimensional Analysis Techniques and Design of Experiments (DOE). We analyze and compare our rules with those proposed by Taylor, and those proposed by Skogestad. Finally, we use our rules to tune a Sliding Mode Control (SMC) that uses a FOPDT model and we presented some performance indexes. © 2020 IEEE.
dc.identifier.doi10.1109/CIIMA50553.2020.9290180
dc.identifier.isbn166087
dc.identifier.urihttp://hdl.handle.net/11407/5990
dc.language.isoeng
dc.publisherColorado L.A.M.spa
dc.publisher.facultyFacultad de Ingenieríasspa
dc.publisher.programIngeniería de Telecomunicacionesspa
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85099246835&doi=10.1109%2fCIIMA50553.2020.9290180&partnerID=40&md5=edd883749e599cbae97804252f424ec4
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.source2020 9th International Congress of Mechatronics Engineering and Automation, CIIMA 2020 - Conference Proceedings
dc.subjectANOVAspa
dc.subjectDesign of Experimentsspa
dc.subjectInverse Response Processspa
dc.subjectReduction Order Techniquesspa
dc.subjectSliding Mode Controlspa
dc.subject.proposalDesign of experimentseng
dc.subject.proposalSliding mode controleng
dc.subject.proposalDimensional analysiseng
dc.subject.proposalFirst-order plus dead-time modelseng
dc.subject.proposalInverse responseeng
dc.subject.proposalInverse response processeng
dc.subject.proposalOrder reductioneng
dc.subject.proposalPerformance indiceseng
dc.subject.proposalSecond-order plus dead-time processeng
dc.subject.proposalStatistical techniqueseng
dc.subject.proposalThree term control systemseng
dc.titleOrder Reduction Rules Based on Statistical Techniques for Inverse Response Processes
dc.typeEnglish
dc.type.driverinfo:eu-repo/semantics/other
dc.type.versioninfo:eu-repo/semantics/publishedVersion

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