Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/260976
Title: Certain Investigations on Machine Optimization Using Multiple Criterion Decision Making Tools
Researcher: Ponmurugan P
Guide(s): Rengarajan N
Keywords: Engineering and Technology,Engineering,Engineering Electrical and Electronic
Hybrid Genetic Algorithm
Machine Optimization
University: Anna University
Completed Date: 2018
Abstract: Induction motors are widely applied in several industrialapplications and estimated that over 80% of electric motors belong toinduction type. Thus improvement of induction motor efficiency leads toincreased energy saving and this aspect has been well discussed in theliterature. One such method to enhance the motor efficiency is to suitablydesign the motor and fabricate it for efficiency enhancement, it is alsopossible to analyze the performance and give optimal solutions such thatexisting motors can be re-designed to improve the motor performance.There are several research works introduced for efficient design ofinduction machine with higher operating efficiency as seen in the literature.The Hybrid Genetic Algorithm and Particle Swarm Optimization Model newline(HGAPSO) was designed for evaluating commercial off-line parameters ofinduction motor. Here, torque and power factor were estimated for providing newlinesteady-state equivalent circuit. But, efficiency was not improved significantly. newlineIn order to achieve higher efficiency for induction motors, various firefly newlineoptimization techniques were designed. But, they do not attain feasible newlinesolution of efficiency. These methods however, fail to improve efficiency. newline newline
Pagination: xxiii,144p.
URI: http://hdl.handle.net/10603/260976
Appears in Departments:Faculty of Electrical Engineering

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01_title.pdfAttached File107.18 kBAdobe PDFView/Open
02_certificates.pdf263 kBAdobe PDFView/Open
03_abstract.pdf89.37 kBAdobe PDFView/Open
04_acknowledgement.pdf80.4 kBAdobe PDFView/Open
05_contents.pdf128.29 kBAdobe PDFView/Open
06_list_of_symbols_and_abbreviations.pdf99.79 kBAdobe PDFView/Open
07_chapter1.pdf217.41 kBAdobe PDFView/Open
08_chapter2.pdf259.4 kBAdobe PDFView/Open
10_chapter4.pdf1.62 MBAdobe PDFView/Open
11_chapter5.pdf1.54 MBAdobe PDFView/Open
12_chapter6.pdf1.58 MBAdobe PDFView/Open
13_chapter7.pdf124.93 kBAdobe PDFView/Open
14_references.pdf208.77 kBAdobe PDFView/Open
15_publications.pdf126 kBAdobe PDFView/Open


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