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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/7318
Title: Genetic neuro controller based direct torque control for switched reluctance motor drive
Authors: Veena, P
Jeyabharath, R
Rajaram, M
Sivanandam, S.N.
veena_gce@yahoo.co.in
Keywords: Direct torque control
Flux control
Genetic algorithms
Neuro controller
Switched reluctance Motor
Electric driving -- Automatic control
Electric machinery -- Alternating current -- Automatic control
Issue Date: 11-Oct-2009
Publisher: Universiti Malaysia Perlis
Citation: p.2B5 1 - 2B5 2
Series/Report no.: Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2009)
Abstract: 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.
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.
URI: http://dspace.unimap.edu.my/123456789/7318
Appears in Collections:Conference Papers

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