Paper Details: Downloads: 725
Serial Number: P1120701001
Title: Direct Torque Control of Induction Motor Using Sophisticated Lookup Tables Based on Neural Networks
Authors: Y.V.Siva Reddy, M.Vijayakumar, T. Brahmananda Reddy
Abstract: Induction motor drive based on direct torque control (DTC) allows high dynamic performance to be obtained with very simple hysteresis control scheme. Direct control of the torque and flux is achieved by proper selection of inverter voltage space vector through a lookup table .In this paper apart from six sector look up table used for classical DTC, a modified look up table, which also use six sectors but with different zones and a twelve sector table are presented .This paper also presents the application of neural networks to control induction machines with DTC. Neural network is used to emulate the state selector of the DTC. In this paper Levenberg-Marquardt algorithm is used to train the neural network. Finally DTC is simulated with and without neural networks and results are compared.
Keywords: Direct torque control, Neural Networks.
Journal/Conference: International Journal of Artificial Intelligence and Machine Learning
Volume: 7
Issue: 1
Submission Date: 1/1/2007 12:00:00 AM
Review Date: 4/1/2007 12:00:00 AM
Publishing Date: 6/1/2007 12:00:00 AM
Article Downloads: 725
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