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Artificial intelligence based rotor position estimation for a 86 solid rotor switched reluctance motor;

by Jessi sahaya shanthi L

Institution:	Anna University
Department:	Artificial intelligence based rotor position estimation for a 86 solid rotor switched reluctance motor
Degree:
Year:	2015
Keywords:	86 solid rotor; electrical engineering; switched reluctance
Posted:
Record ID:	1190054
Full text PDF:	http://shodhganga.inflibnet.ac.in/handle/10603/33711

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%%%Reference p.112-118