Artificial neural network controller for split capacitor type elementary additional series positive output super lift converter

Abstract

Artificial neural network plays a vital role in today's DC to DC power conversion. It examines the improvement and performance of the subjected DC to DC converter attained after the implication of artificial neural network algorithm. Super lift converter is a type of DC to DC converter which makes use of super lift voltage technique. This technique builds ups the output voltage of the converter stage by stage in geometric progression. Split capacitor type elementary additional series positive output super lift converter is a subtype of super lift DC to DC converter which splits up the capacitor at input side to obtain high voltage transfer gain and high efficiency. Thus the implementation of artificial neural network controller for split capacitor type elementary additional series positive output super lift converter regulates the line and load variation. MATLAB/SIMULINK software is used for synthesizing the results of proposed DC to DC converter model.