Development of Neuro Controller for Negative Output Re-Lift Luo Converter

The present work deals with the application of neuro control theory for the closed loop operation of negative output re-lift Luo converter, which is a newly developed DC-DC converter. Due to the time-varying and switching nature of the power electronic converters, their dynamic behavior becomes highly non-linear. Conventional controllers are incapable of providing good dynamic performance and hence neural network can be utilized as a controller for controlling power electronic converters. The neuro controller developed in this work is off-linerained using quasi-Newton backpropagation algorithm. The evaluated in this work using MATLAB under load and line disturbances. The simulation results are presented. They validate the neuro control developed.