Genetic neuro controller based direct torque control for switched reluctance motor drive

Genetic neuro controller based direct torque control for switched reluctance motor drive

Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.

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Bibliographic Details
Main Authors: Veena, P, Jeyabharath, R, Rajaram, M, Sivanandam, S.N.
Other Authors: veena_gce@yahoo.co.in
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis 2009
Subjects:
Direct torque control
Flux control
Genetic algorithms
Neuro controller
Switched reluctance Motor
Electric driving > Automatic control
Electric machinery > Alternating current > Automatic control
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7318
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Institution: Universiti Malaysia Perlis
Language: English
id my.unimap-7318
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spelling my.unimap-73182010-01-15T08:57:58Z Genetic neuro controller based direct torque control for switched reluctance motor drive Veena, P Jeyabharath, R Rajaram, M Sivanandam, S.N. veena_gce@yahoo.co.in Direct torque control Flux control Genetic algorithms Neuro controller Switched reluctance Motor Electric driving -- Automatic control Electric machinery -- Alternating current -- Automatic control Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia. Direct torque control (DTC) of Switched reluctance motor is known to have simple control structure with comparable performance. However, the role of optimal selection of the voltage space vector is one of the weakest points in a conventional DTC drive. In this paper optimal selection of voltage space vectors is achieved using GA based neural network. Simulations results validate the proposed intelligent system with fast torque and flux response with minimized torque and flux ripple. 2009-11-17T08:49:36Z 2009-11-17T08:49:36Z 2009-10-11 Working Paper p.2B5 1 - 2B5 2 http://hdl.handle.net/123456789/7318 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2009) Universiti Malaysia Perlis
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Direct torque control
Flux control
Genetic algorithms
Neuro controller
Switched reluctance Motor
Electric driving -- Automatic control
Electric machinery -- Alternating current -- Automatic control
spellingShingle Direct torque control
Flux control
Genetic algorithms
Neuro controller
Switched reluctance Motor
Electric driving -- Automatic control
Electric machinery -- Alternating current -- Automatic control
Veena, P
Jeyabharath, R
Rajaram, M
Sivanandam, S.N.
Genetic neuro controller based direct torque control for switched reluctance motor drive
description Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.
author2 veena_gce@yahoo.co.in
author_facet veena_gce@yahoo.co.in
Veena, P
Jeyabharath, R
Rajaram, M
Sivanandam, S.N.
format Working Paper
author Veena, P
Jeyabharath, R
Rajaram, M
Sivanandam, S.N.
author_sort Veena, P
title Genetic neuro controller based direct torque control for switched reluctance motor drive
title_short Genetic neuro controller based direct torque control for switched reluctance motor drive
title_full Genetic neuro controller based direct torque control for switched reluctance motor drive
title_fullStr Genetic neuro controller based direct torque control for switched reluctance motor drive
title_full_unstemmed Genetic neuro controller based direct torque control for switched reluctance motor drive
title_sort genetic neuro controller based direct torque control for switched reluctance motor drive
publisher Universiti Malaysia Perlis
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/7318
_version_ 1643788756331790336

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