International Journal of Advanced Information and Communication Technology


Indirect Matrix Converter Fed Three Phase Induction Motor Using Predictive Current Control

M. Bharanitharan, R. Radhamani, K. S. Rangasamy College of Technology, Tiruchengode, Tamilnadu, India.

DOI : 01.0401/ijaict.2015.01.01

International Journal of Advanced Information and Communication Technology

Received On : July 12, 2018

Revised On : August 15, 2018

Accepted On : September 16, 2018

Published On : October 05, 2018

Volume 05, Issue 10

Pages : 955-959

Abstract


This paper presents a new strategy for indirect matrix converters which allows an optimal control of source and load currents of induction motor. The commutation state of the converter in the subsequent sampling time according to an optimization algorithm given by a simple cost functional and the discrete system model and the control goals are regulation of output current according to an arbitrary reference and also a good tracking of the source current to its reference which is imposed to have a sinusoidal waveform with low distortion.The Induction Motor is powered with Indirect Matrix Converter, the power factor of the mains automatically gets increased from 0.84 to 0.9. Also the speed of the motor should be constant .it is not oscillated. So vibration less operation is possible. The Induction motor is energized with distortion less sinusoidal current waveform which results is reduced in noise in the operation. So the overall performance of the motor is increased with high efficiency. The indirect matrix converter fed induction motor hardware model is and the results are analyzed.

Keywords


Ac-Ac Power Conversion, Current Control, Matrix Converter, Predictive Control

Cite this article


M. Bharanitharan, R. Radhamani, “Indirect Matrix Converter Fed Three Phase Induction Motor Using Predictive Current Control” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.955-959, October 05, 2018.

Copyright


© 2018 M. Bharanitharan, R. Radhamani. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.