Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/28115
Title: Development of optimal controller for heavy duty gas turbine plants using soft computing techniques
Researcher: Balamurugan S
Guide(s): Ebenezer jeyakumar A
Keywords: electrical engineering
gas turbine plants
soft computing techniques
Upload Date: 18-Nov-2014
University: Anna University
Completed Date: 01/06/2009
Abstract: Heavy 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 newline
Pagination: xx, 104p.
URI: http://hdl.handle.net/10603/28115
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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