Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/262137
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dc.coverage.spatialInvestigation of green powered optimized intelligent controllers for sensorless control of switched reluctance motor-
dc.date.accessioned2019-11-05T10:35:00Z-
dc.date.available2019-11-05T10:35:00Z-
dc.identifier.urihttp://hdl.handle.net/10603/262137-
dc.description.abstractSimple structure, high speed, low cost, reliable and robust construction attracts the vision of researchers on Switched Reluctance Motor (SRM) drives. It is self-starting, simple stator to wind and there is no possibility for phase to phase crossover faults. It has high starting torque without heavy inrush currents. Rotor carries no windings, no brushes, so the SRM requires less maintenance. These advantages are welcomed for the domestic applications like vacuum cleaners, washing machines, food processors, automobiles, general purpose electrical drives etc. Performance of SRM drive using rotor position transducers have many disadvantages like cost, connection, alignment mismatch, less suitability to space restricted applications. These drawbacks of sensors have been motivated for the development of sensorless techniques in the recent years. The vulnerable factors are need of rotor position feedback, speed fluctuations and torque ripples under high speed. These issues need to be sort out for optimal control and high performance of SRM drive. newline-
dc.format.extentxxii,147p.-
dc.languageEnglish-
dc.relationp.136-146-
dc.rightsuniversity-
dc.titleInvestigation of green powered optimized intelligent controllers for sensorless control of switched reluctance motor-
dc.creator.researcherYamuna K S-
dc.subject.keywordEngineering and Technology,Engineering,Engineering Electrical and Electronic-
dc.subject.keywordintelligent controllers-
dc.subject.keywordSwitched Reluctance Motor-
dc.contributor.guideShivakumar R-
dc.publisher.placeChennai-
dc.publisher.universityAnna University-
dc.publisher.institutionFaculty of Electrical Engineering-
dc.date.registeredn.d.-
dc.date.completed2018-
dc.date.awarded30/08/2018-
dc.format.dimensions21cm-
dc.format.accompanyingmaterialNone-
dc.source.universityUniversity-
dc.type.degreePh.D.-
Appears in Departments:Faculty of Electrical Engineering

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01_title.pdfAttached File23.53 kBAdobe PDFView/Open
02_certificates.pdf912.88 kBAdobe PDFView/Open
03_abstract.pdf5.56 kBAdobe PDFView/Open
04_acknowledgement.pdf4.92 kBAdobe PDFView/Open
05_contents.pdf120.02 kBAdobe PDFView/Open
06_list_of_symbols_and_abbreviations.pdf250.14 kBAdobe PDFView/Open
07_chapter1.pdf545.8 kBAdobe PDFView/Open
08_chapter2.pdf122.26 kBAdobe PDFView/Open
09_chapter3.pdf830.24 kBAdobe PDFView/Open
10_chapter4.pdf931.73 kBAdobe PDFView/Open
11_chapter5.pdf1.13 MBAdobe PDFView/Open
12_chapter6.pdf1.57 MBAdobe PDFView/Open
13_chapter7.pdf109.97 kBAdobe PDFView/Open
14_chapter8.pdf10.87 kBAdobe PDFView/Open
15_references.pdf262.14 kBAdobe PDFView/Open
16_list_of_publications.pdf158.82 kBAdobe PDFView/Open


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