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dc.contributor.authorTrierweiler, Jorge Otáviopt_BR
dc.contributor.authorMuller, R.pt_BR
dc.contributor.authorEngell, Sebastianpt_BR
dc.date.accessioned2013-07-16T01:44:54Zpt_BR
dc.date.issued2000pt_BR
dc.identifier.issn0104-6632pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/75856pt_BR
dc.description.abstractThe method presented here offers an effective and time saving tool for multivariable controller design. The relation between controller complexity and closed loop performance can easily be evaluated. The method consists of five steps: 1. A desired behavior of the closed loop system is specified. Considering the nonminimum phase part of the process model the closed loop attainable performance is determined. 2. The process model and the attainable performance are scaled by the RPN-scaling procedure. 3. This defines an "ideal" scaled controller, which is usually too complex to be realized. 4. The frequency response of the ideal scaled compensator is approximated by a simpler one with structure and order chosen by the user. 5. Since the approximation in frequency response is performed with the scaled system, it is necessary to return to the original system’s units.en
dc.format.mimetypeapplication/pdf
dc.language.isoengpt_BR
dc.relation.ispartofBrazilian journal of chemical engineering. São Paulo, SP. Vol. 17, no. 04-07 (Dec. 2000), p. 793-807pt_BR
dc.rightsOpen Accessen
dc.subjectControle de processos químicospt_BR
dc.subjectLow order controllersen
dc.subjectMultivariable PID-controllersen
dc.subjectDecentralized controllersen
dc.subjectModel reductionen
dc.subjectRPNen
dc.titleMultivariable low order structured-controller design by frequency response approximationpt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb000295958pt_BR
dc.type.originNacionalpt_BR


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