Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/28115
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dc.coverage.spatialoptimal controller for heavy duty gas turbine plants using soft computing techniquesen_US
dc.date.accessioned2014-11-18T11:39:19Z-
dc.date.available2014-11-18T11:39:19Z-
dc.date.issued2014-11-18-
dc.identifier.urihttp://hdl.handle.net/10603/28115-
dc.description.abstractHeavy duty gas turbine plants are normally connected to weak newlinesupply systems or even in isolated operation Load fluctuation could newlinecause these plants to become unstable An effective control and design newlineare required to maintain system stability There is an increasing demand newlinefor an accurate model of such a system to enable the system response newlineto be investigated and improvement to the associated control system newlineto be made newlineFor developing such an effective contro a simplified transfer newlinefunction model of the plant is required In this work the response of the newlinesystem is simulated with speed acceleration and temperature controller newlineThe simulation results show that the speed controller is found to be an newlineessential controller for the gas turbine plants newline newlineen_US
dc.format.extentxx, 104p.en_US
dc.languageEnglishen_US
dc.relationp.96-101en_US
dc.rightsuniversityen_US
dc.titleDevelopment of optimal controller for heavy duty gas turbine plants using soft computing techniquesen_US
dc.title.alternativeen_US
dc.creator.researcherBalamurugan Sen_US
dc.subject.keywordelectrical engineeringen_US
dc.subject.keywordgas turbine plantsen_US
dc.subject.keywordsoft computing techniquesen_US
dc.description.noteReference p.96-101en_US
dc.contributor.guideEbenezer jeyakumar Aen_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.completed01/06/2009en_US
dc.date.awarded30/06/2009en_US
dc.format.dimensions23cmen_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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01_title.pdfAttached File33.13 kBAdobe PDFView/Open
02_certificate.pdf5.82 kBAdobe PDFView/Open
03_abstract.pdf12.96 kBAdobe PDFView/Open
04_acknowledgement.pdf6.71 kBAdobe PDFView/Open
05_contents.pdf32.37 kBAdobe PDFView/Open
06_chapter 1.pdf92.39 kBAdobe PDFView/Open
07_chapter 2.pdf122.39 kBAdobe PDFView/Open
08_chapter 3.pdf270.96 kBAdobe PDFView/Open
09_chapter 4.pdf60.6 kBAdobe PDFView/Open
10_chapter 5.pdf204.24 kBAdobe PDFView/Open
11_chapter 6.pdf53.41 kBAdobe PDFView/Open
12_chapter 7.pdf36.83 kBAdobe PDFView/Open
13_appendix.pdf158.99 kBAdobe PDFView/Open
14_references.pdf24.72 kBAdobe PDFView/Open
15_publications.pdf9.07 kBAdobe PDFView/Open
16_vitae.pdf6.14 kBAdobe PDFView/Open


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