International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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M.Tech / M.E / PhD Thesis | Electrical Engineering | India | Volume 6 Issue 6, June 2017


Cascaded H-Bridge Multilevel Inverter with Reduced Number of Power Components

Pauline Jothi Kiruba G. J. | Mercy P. | Parveen Nisha M. G.


Abstract: This paper deals Cascaded H-bridge multilevel inverter with reduced number of power components using artificial neural network technique. This topology consists of lower blocking voltage on switches and it requires less number of dc voltage sources, power switches which results in decrease the complexity and total cost of the inverter. A new algorithm is used to determine the magnitude of dc voltage sources for the generation of all voltage levels. Artificial Neural Network (ANN) is trained by the back-propagation algorithm of the Mean Square Error between the output and the desired value. The performances of the proposed topology using artificial neural network technique are simulated using MATLAB simulink and hardware implementation also done.


Keywords: Cascaded multilevel inverter, H-bridge, Artificial neural network, Multicarrier pulse width modulation


Edition: Volume 6 Issue 6, June 2017,


Pages: 1167 - 1172


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How to Cite this Article?

Pauline Jothi Kiruba G. J., Mercy P., Parveen Nisha M. G., "Cascaded H-Bridge Multilevel Inverter with Reduced Number of Power Components", International Journal of Science and Research (IJSR), Volume 6 Issue 6, June 2017, pp. 1167-1172, https://www.ijsr.net/get_abstract.php?paper_id=ART20174537

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