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dc.contributor.authorGupta, Vijay Kumar-
dc.date.accessioned2014-10-12T10:08:35Z-
dc.date.available2014-10-12T10:08:35Z-
dc.date.issued1996-
dc.identifierM.Techen_US
dc.identifier.urihttp://hdl.handle.net/123456789/6209-
dc.guideSingh, Y. P.-
dc.guideVerma, V. K.-
dc.description.abstractThis dissertation work is concerned with the control of speed of separately excited dc motor through application of neural network technique. The separately exited dc motor, fed from a two quadrant chopper (making use of MOSFET) is operated in PWM mode of operation through control of motor terminal voltage. The gating signals are generated through PC-AT interfaced with Timer and I/O cards. The neural network is used to identify the unknown input-output performance characteristics motor & load. The control objective is to design the software controller so that the motor follows a certain speed trajectory. The neural network is first trained by presenting it with a sequence of speed/ voltage patterns obtained from the experimental set-up and data file for NNW weights is stored for subsequent use. Experimentation is carried out to investigate to drive performance when subjected to a reference speed trajectory. The chopper duty cycle is determined in a closed loop manner using previously trained neural network. The weights of NNW are also on line trained The software is written in "C" Language.en_US
dc.language.isoenen_US
dc.subjectELECTRICAL ENGINEERINGen_US
dc.subjectD.C. DRIVEen_US
dc.subjectNEURAL NETWORK CONTROLLERen_US
dc.subjectNEURAL NETWORKen_US
dc.titleD.C. DRIVE USING NEURAL NETWORK CONTROLLERen_US
dc.typeM.Tech Dessertationen_US
dc.accession.number247115en_US
Appears in Collections:MASTERS' DISSERTATIONS (Electrical Engg)

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