Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/33711
Title: Artificial intelligence based rotor position estimation for a 86 solid rotor switched reluctance motor
Researcher: Jessi sahaya shanthi L
Guide(s): Arumugam R
Keywords: 86 solid rotor
electrical engineering
switched reluctance
Upload Date: 6-Feb-2015
University: Anna University
Completed Date: 01/12/2009
Abstract: Switched Reluctance Motor SRM is becoming popular due to its newlinesimple construction low manufacturing cost ruggedness and fault tolerant newlinecapability In conventional SRM rotor is laminated But in solid rotor SRMs newlinerotor is not laminated and it is suitable for applications where rotors are newlineimmersed in water environment A stationary can arrangement is introduced newlinebetween stator and rotor Solid rotor SRMs are used in reactivity control newlinemechanisms of nuclear reactors newlineThe scope of this thesis is to design develop implement and test a newlinenovel rotor position estimation algorithm which adopts two phase excitation newlinemethod for a 86 solid rotor SRM newline newline
Pagination: xvi, 121p.
URI: http://hdl.handle.net/10603/33711
Appears in Departments:Faculty of Electrical and Electronics Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File59.35 kBAdobe PDFView/Open
02_certificate.pdf113.09 kBAdobe PDFView/Open
03_abstract.pdf138.34 kBAdobe PDFView/Open
04_acknowledgement.pdf146.42 kBAdobe PDFView/Open
05_contents.pdf422.88 kBAdobe PDFView/Open
06_chapter 1.pdf1.33 MBAdobe PDFView/Open
07_chapter 2.pdf1.63 MBAdobe PDFView/Open
08_chapter 3.pdf1.03 MBAdobe PDFView/Open
09_chapter 4.pdf1.06 MBAdobe PDFView/Open
10_chapter 5.pdf1.39 MBAdobe PDFView/Open
11_chapter 6.pdf809.82 kBAdobe PDFView/Open
12_chapter 7.pdf264.94 kBAdobe PDFView/Open
13_appendix.pdf557.13 kBAdobe PDFView/Open
14_references.pdf712.44 kBAdobe PDFView/Open
15_publications.pdf118.25 kBAdobe PDFView/Open
16_vitae.pdf48.48 kBAdobe PDFView/Open


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