Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/38617
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dc.coverage.spatialImpact of using a novel emotional Intelligent controller for induction Motor v f speed controlen_US
dc.date.accessioned2015-04-06T04:37:22Z-
dc.date.available2015-04-06T04:37:22Z-
dc.date.issued2015-04-06-
dc.identifier.urihttp://hdl.handle.net/10603/38617-
dc.description.abstractThe essentiality of the induction motor applications is felt strongly newlineWorldwide There is a growing demand for the applications of the induction newlinemotors in the fields of agriculture residential commercial and industrial and newlineother utility areas These motors are used in the above areas because of some newlineimportant advantages like simple design low cost easy maintenance and good newlinepower factor The application of induction motor devoid of speed controls is newlinenot possible V f speed control is one of such speed controls which facilitates newlinethe speed control easily So this control is largely preferred in the industry This newlinecontrol strategy consists of keeping a constant V f ratio of the induction motor newlinesupply source One of such controllers is the design of intelligent controllers newlinewhich has received considerable attention in recent years The control newlinetechniques based on neural networks fuzzy and genetic algorithms are among newlinethem Emotional learning belonging to the family of intelligent algorithms is a newlinepsychologically motivated one Researchers developed a new inspired newlinecomputational model of the amygdala and orbito frontal cortex in the limbic newlinesystem of the mammalian brain Brain Emotional Learning Based Intelligent newlineController BELBIC has been suggested based on the above computational newlineModel There are two approaches for applying the brain emotional learning newlinemodel into control systems,namely direct and indirect approaches newlineen_US
dc.format.extentxxiii, 172p.en_US
dc.languageEnglishen_US
dc.relationp162-170.en_US
dc.rightsuniversityen_US
dc.titleImpact of using a novel emotional Intelligent controller for induction Motor v f speed controlen_US
dc.title.alternativeen_US
dc.creator.researcherSenthilkumar Sen_US
dc.subject.keywordBrain Emotional Learning Based Intelligent Controlleren_US
dc.subject.keywordFuzzy and genetic algorithmsen_US
dc.description.notereference p162-170.en_US
dc.contributor.guideVijayan Sen_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.publisher.institutionFaculty of Electrical and Electronics Engineeringen_US
dc.date.registeredn.d,en_US
dc.date.completed01/08/2014en_US
dc.date.awarded30/08/2014en_US
dc.format.dimensions23cm.en_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Faculty of Electrical and Electronics Engineering

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01_title.pdfAttached File19.71 kBAdobe PDFView/Open
02_certificate.pdf461.63 kBAdobe PDFView/Open
03_abstract.pdf8.67 kBAdobe PDFView/Open
04_content.pdf31.12 kBAdobe PDFView/Open
05_chapter1.pdf28.04 kBAdobe PDFView/Open
06_chapter2.pdf29.24 kBAdobe PDFView/Open
07_chapter3.pdf249 kBAdobe PDFView/Open
08_chapter4.pdf1.86 MBAdobe PDFView/Open
09_chapter5.pdf846.05 kBAdobe PDFView/Open
10_chapter6.pdf1.38 MBAdobe PDFView/Open
11_chapter7.pdf1.78 MBAdobe PDFView/Open
12_chapter8.pdf29.78 kBAdobe PDFView/Open
13_chapter9.pdf15.73 kBAdobe PDFView/Open
14_reference.pdf30.59 kBAdobe PDFView/Open
15_publication.pdf7.74 kBAdobe PDFView/Open


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