Analysis of Synchronous Buck Converter with ANFIS Controller for Industrial Agalya Processor V.*, Dr. Ravindran R. Samson** *Assistant Professor, Department of Electrical and Electronics Engineering, Mahendra Engineering College, Mahendrapuri, Mallasamudram, Tamil Nadu, India **Professor, Department of Electronics and Communication Engineering, Mahendra Engineering College, Mahendrapuri, Mallasamudram, Tamil Nadu, India Online published on 3 May, 2016. Abstract Design of low compact power supply unit in microprocessor is become a major demand from modern computer manufacturing industries. Voltage Regulator Module enforced major design requirement for the effective power supply in processors. One of the challenging power management system is the analysis of VRM to meet the new specification opted by the modern industries. The present study is carried out to analyze the VRM and meet the recent requirements such as performance of customer equipment (processors and computers) and DC-DC converter under reduced power supply. For the improvement of speed and voltage fluctuation, Synchronous (SR) Buck Converter with ANFIS controller are analyzed. Among the other soft computing techniques, ANFIS (Adaptive Neuro Fuzzy Inference System) gives significant results. Due to the dynamic nature of the load current, the efficient energy conversion is not possible. But the advancements in the areas of artificial intelligence have made it feasible to beat the hurdles. The SR Buck converter adopting the advantages of ANFIS has been proved to be more successful with the fast dynamic response with high accuracy. The complete system is modeled using MATLAB/SIMULIK. Top Keywords Low power supply unit, VRM, ANFIS controller, DC-DC Conversion, Synchronous (SR) buck Converter. Top |