Asian Journal of Information Technology

Year: 2014
Volume: 13
Issue: 10
Page No. 627 - 632

Artificial Neural Network Based Optimized Harmonic Stepped Waveform Technique for Cascaded H-Bridge Eleven Level Inverter

Authors : M.S. Sivagamasundari and P. Melba Mary

Abstract: This research paper proposes an Optimized Harmonic Stepped Waveform (OHSW) technique based on an artificial neural network to control a single phase cascaded H-bridge eleven level inverter. By applying this OHSW technique, specific harmonics can be eliminated and the output voltage total harmonic distortion can be improved on a cascaded h-bridge eleven level inverter with separate dc sources. A procedure to achieve the appropriate switching angles of the OHSW is also proposed. This method uses artificial neural networks to determine the switching angles for different dc source values at any time and the simulation results show that it efficiently canceling the harmonics generated by the inverters and demonstrates a satisfying behavior.

How to cite this article:

M.S. Sivagamasundari and P. Melba Mary, 2014. Artificial Neural Network Based Optimized Harmonic Stepped Waveform Technique for Cascaded H-Bridge Eleven Level Inverter. Asian Journal of Information Technology, 13: 627-632.

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