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Model-based synthesis of nonlinear PI and PID controllers

dc.contributor.authorWright, Raymond A.en_US
dc.contributor.authorKravaris, Costasen_US
dc.contributor.authorKazantzis, Nikolaosen_US
dc.date.accessioned2007-01-17T15:56:16Z
dc.date.available2007-01-17T15:56:16Z
dc.date.issued2001-08en_US
dc.identifier.citationWright, Raymond A.; Kravaris, Costas; Kazantzis, Nikolaos (2001)."Model-based synthesis of nonlinear PI and PID controllers." AIChE Journal 47(8): 1805-1818. <http://hdl.handle.net/2027.42/49316>en_US
dc.identifier.issn0001-1541en_US
dc.identifier.issn1547-5905en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/49316
dc.description.abstractPI and PID controllers continue to be popular methods in industrial applications. It is well known that linear PI and PID controllers result from the application of model-based controller design methods to linear first- and second-order systems. It is shown that nonlinear PI and PID controllers result from the application of nonlinear controller design methods to nonlinear first- and second-order systems. As a result, the controllers resulting from nonlinear model-based control theory are put in a convenient form, more amenable to industrial implementation. Additionally, the quantities used in the controller are useful for monitoring the process and quantifying modeling error. Chemical engineering examples are used to illustrate the resulting control laws. A simulation example further demonstrates the performance of the nonlinear controllers, as well as their useful process monitoring quantities.en_US
dc.format.extent257855 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherWiley Subscription Services, Inc., A Wiley Companyen_US
dc.subject.otherChemistryen_US
dc.subject.otherChemical Engineeringen_US
dc.titleModel-based synthesis of nonlinear PI and PID controllersen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelChemical Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDept. of Chemical Engineering, The University of Michigan, Ann Arbor, MI 48109en_US
dc.contributor.affiliationotherThe Dow Chemical Company, Midland, MI 48667 ; The Dow Chemical Company, Midland, MI 48667en_US
dc.contributor.affiliationotherDept. of Chemical Engineering, Texas A&M University, College Station, TX 77843en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/49316/1/690470812_ftp.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1002/aic.690470812en_US
dc.identifier.sourceAIChE Journalen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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