TY  - JOUR
T1  - Artificial Neural Network Based Optimized Harmonic Stepped Waveform Technique for Cascaded H-Bridge Eleven Level Inverter
AU - Sivagamasundari, M.S. AU - Mary, P. Melba 
JO  - Asian Journal of Information Technology
VL  - 13
IS  - 10
SP  - 627
EP  - 632
PY  - 2014
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2014.627.632
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2014.627.632
KW  - Multilevel inverter
KW  -cascaded H-bridge multilevel inverter
KW  -total harmonic distortion
KW  -eleven level inverter
KW  -optimized harmonic stepped waveform technique
KW  -artificial neural network
AB  - 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.
ER  -