Reduction of Total harmonic distortion in new Cascaded H-Bridge Multilevel Inverter topology using artificial neural network technique

  Parveen Nisha.M.G,  Pauline Jothi Rajesh. I

This paper deals with reduction of total harmonic distortion in new Cascaded H-bridge multilevel inverter topology with 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. Moreover, a new algorithm is used to determine the magnitude of dc voltage sources for generation of all voltage levels. Artificial Neural Network (ANN) is trained by the back-propagation algorithm of the Mean Square Error (MSE) between the output and the desired value. The performance and functional accuracy of the proposed topology using ANN technique in generating all voltage levels for 31-level inverter are simulated using MATLAB simulink.

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

Unique Identification Number - IJEDR1604084
Page Number(s) - 575-582
Pubished in - Volume 4 | Issue 4 | November 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Parveen Nisha.M.G,  Pauline Jothi Rajesh. I,   "Reduction of Total harmonic distortion in new Cascaded H-Bridge Multilevel Inverter topology using artificial neural network technique", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 4, pp.575-582, November 2016, Available at :http://www.ijedr.org/papers/IJEDR1604084.pdf