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Abstract
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Article Information:
Adaptive Neuro Fuzzy Inference System Based DTC Control for Matrix Converter
Venugopal Chitra, K.S. Ravichandran and R. Varadarajan
Corresponding Author: Venugopal Chitra
Submitted: October 16, 2011
Accepted: November 23, 2011
Published: April 15, 2012 |
Abstract:
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In this study an Adaptive Neuro Fuzzy Inference System is introduced to select the switching states
of Matrix Converters. Matrix converters have received more attention in research and industrial application due
its advantages like four quadrant operation, sinusoidal input and output waveforms, controllable displacement
factor, less number of switches etc., Matrix Converters are efficient in speed control of Induction motors than
the conventional converters. There are two different control techniques namely field oriented control and Direct
Torque Control systems available for closed loop operation of induction motors. The Direct Torque Control
technique provides control of torque and flux directly. The major drawback of Direct Torque Control technique
is the presence of ripples in torque and flux curves. This due to the presence of two level and three level
hysteresis controllers in torque and flux control stages respectively. Also the conventional space vector and look
up table method of switching state selection reduces the accuracy of switch state selection in the appropriate
time width. This reduces the speed control performance of the motor. Also in this paper the hysteresis
controllers are replaced by fuzzy controllers. the complete ANFIS based DTC for Matrix Converter is simulated
in MATLAB/SIMULINK and the results shows that the use of Adaptive neuro fuzzy inference in Matrix
Converter system increases the speed control performance of Induction Motor.
Key words: Adaptive neuro fuzzy inference system, conventional DTC system, direct torque control, fuzzy logic control, induction motor, matrix converter,
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Cite this Reference:
Venugopal Chitra, K.S. Ravichandran and R. Varadarajan, . Adaptive Neuro Fuzzy Inference System Based DTC Control for Matrix Converter. Research Journal of Applied Sciences, Engineering and Technology, (08): 929-936.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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