Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/16077
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dc.coverage.spatialFractional order control systemen_US
dc.date.accessioned2014-02-21T11:06:41Z-
dc.date.available2014-02-21T11:06:41Z-
dc.date.issued2014-02-21-
dc.identifier.urihttp://hdl.handle.net/10603/16077-
dc.description.abstractA tank is an important unit of almost all chemical process industries. newlineAn ideal tank should occupy less space for a definite volume and should be newlineable to drain all the stored material when ever needed. A spherical tank is a newlinegood choice which will satisfy both of the above requirements because of its newlinestructure. So many of the process industries use spherical tanks as storage newlinetanks of cryogenic liquids, fuels and other liquids and as surge tanks between newlinetwo consecutive stages of processes. newlineIn many processes the liquid will undergo either a chemical or newlinemixing treatment in the tanks. Due to gravity, liquid settles down in these newlinetanks where because of presence of different rates of inlet and outlet streams newlinethe height of stored liquid changes with time. A too high level may upset newlinereaction equilibria, cause damage to equipment or result in spillage of newlinevaluable or hazardous material. A too low level may have bad consequences for the sequential operations. Hence control of liquid level is an important and newlinecommon task in process industries. newlineControl of liquid level in a spherical tank is a challenging problem newlinebecause of its nonlinearity due to the variation in the area of cross section. newlineHence, the spherical tank process is taken up for study here. Most of the newlinechemical processes exhibit an open loop response which can be approximated by a first order system with dead time. In this research work, first the newlinespherical tank is modeled as first order plus dead time (FOPDT) system about newlinedifferent operating points. Dead time is a principal source of destabilizing newlineeffects in chemical process control systems. It is clear that the possibility for newlineclosed loop instability will almost and always be present. Therefore the newlineselection and tuning of feedback controller becomes a crucial task. In this newlineresearch work instead of conventional feedback controller fractional newlinecontrollers are designed for the rationalized FOPDT models. Fractional order PI and fractional order PID controllers are designed newlinefor the developed FOPDT models. newline newlineen_US
dc.format.extentxxvii, 165p.en_US
dc.languageEnglishen_US
dc.relation160-163en_US
dc.rightsuniversityen_US
dc.titleStudies on fractional order control systemen_US
dc.title.alternativeen_US
dc.creator.researcherSundaravadivu Ken_US
dc.subject.keywordElectrical engineeringen_US
dc.subject.keywordFractional order control systemen_US
dc.description.noteReferences p160-163.en_US
dc.contributor.guideSaravanan Ken_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.publisher.institutionFaculty of Electrical and Electronics Engineeringen_US
dc.date.registeredn.d.en_US
dc.date.completed01/10/13en_US
dc.date.awarded30/10/13en_US
dc.format.dimensions23cm.en_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Faculty of Electrical and Electronics Engineering

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02_certificate.pdf236.79 kBAdobe PDFView/Open
03_abstract.pdf19.29 kBAdobe PDFView/Open
04_acknowledgements.pdf6.66 kBAdobe PDFView/Open
05_contents.pdf48.99 kBAdobe PDFView/Open
06_chapter1.pdf21.39 kBAdobe PDFView/Open
07_chapter2.pdf70.14 kBAdobe PDFView/Open
08_chapter3.pdf272.85 kBAdobe PDFView/Open
09_chapter4.pdf131.11 kBAdobe PDFView/Open
10_chapter5.pdf759.57 kBAdobe PDFView/Open
11_chapter6.pdf123.65 kBAdobe PDFView/Open
12_chapter7.pdf305.26 kBAdobe PDFView/Open
13_chapter8.pdf15.5 kBAdobe PDFView/Open
14_references.pdf17.44 kBAdobe PDFView/Open
15_publications.pdf6.46 kBAdobe PDFView/Open
16_vitae.pdf5.51 kBAdobe PDFView/Open


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