Design and implementation of shepwm in single phase inverter and ac chopper using generalized hopfield neural network

Abstract

In this thesis, a real time implementation of selective harmonic newlineelimination SHEPWM using Generalized Hopfield Neural Network newlineGHNN ie a single layer recurrent network to minimize or eliminatecertain newlinelower order harmonics while retaining the desired fundamental in the output newlinevoltage of a singlephase inverter and single phase ACChopper is discussed newlineThe switching angles corresponding to the above objective are obtained by newlinesolving a set of nonlinear algebraic transcendental equations The problem is newlineredrafted as an optimization problem and it is solved by using GHNN An newlineenergy function is formulated for the above problem and a set of differential newlineequations describing the behavior of GHNNare formed by using the derived energy function newline newline