Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/50218
Title: Design and implementation of shepwm in single phase inverter and ac chopper using generalized hopfield neural network
Researcher: Balasubramonian M
Guide(s): Rajamani V
Keywords: Electrical and electronics engineering
hopfield neural network
single phase inverter
Upload Date: 1-Oct-2015
University: Anna University
Completed Date: 01/11/2014
Abstract: In this thesis, a real time implementation of selective harmonic newlineelimination SHEPWM using Generalized Hopfield Neural Network newlineGHNN ie a single layer recurrent network to minimize or eliminatecertain newlinelower order harmonics while retaining the desired fundamental in the output newlinevoltage of a singlephase inverter and single phase ACChopper is discussed newlineThe switching angles corresponding to the above objective are obtained by newlinesolving a set of nonlinear algebraic transcendental equations The problem is newlineredrafted as an optimization problem and it is solved by using GHNN An newlineenergy function is formulated for the above problem and a set of differential newlineequations describing the behavior of GHNNare formed by using the derived energy function newline newline
Pagination: xxi, 139p.
URI: http://hdl.handle.net/10603/50218
Appears in Departments:Faculty of Electrical and Electronics Engineering

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01_title.pdfAttached File15.08 kBAdobe PDFView/Open
02_certificate.pdf12.6 kBAdobe PDFView/Open
03_abstract.pdf20.5 kBAdobe PDFView/Open
04_acknowledgement.pdf7.83 kBAdobe PDFView/Open
05_contents.pdf40.04 kBAdobe PDFView/Open
06_chapter 1.pdf664.28 kBAdobe PDFView/Open
07_chapter 2.pdf89.41 kBAdobe PDFView/Open
08_chapter 3.pdf1.15 MBAdobe PDFView/Open
09_chapter 4.pdf604.63 kBAdobe PDFView/Open
10_chapter 5.pdf1.84 MBAdobe PDFView/Open
11_chapter 6.pdf518.29 kBAdobe PDFView/Open
12_chapter 7.pdf18.3 kBAdobe PDFView/Open
13_references.pdf347.89 kBAdobe PDFView/Open
14_publication.pdf9.18 kBAdobe PDFView/Open


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