FPGA-BASED NEURO FUZZY CONTROLLER FOR PERFORMANCE ENHANCEMENT OF POWER ELECTRONICS CONVERTERS

摘要

ABSTRACT The higher density programmable logic devices such as Programmable Logic Device (PLD) and Field Programmable Gate Array (FPGA) have been developed to overcome the problems of microprocessors. The FPGA is suitable for fast implementation and hardware verification. The control systems based on it are flexible and can be reprogrammed unlimited number of times. Thus, the best choice for Neuro Fuzzy controller implementations that achieve both high speed and rapid prototyping appears to be the programmable hardware approaches like field programmable gate arrays (FPGA). The present invention aims to address the issue of implementing a Neuro Fuzzy controller using FPGA for performance enhancement of power electronics converters. FPGA-Based Neuro Fuzzy Controller for power electronics converters has been proposed. The proposed FPGA-Based Neuro Fuzzy Controller has been found to work better than conventional hardware controllers for power electronics converters. It has been demonstrated that the proposed FPGA-Based Neuro Fuzzy Controller improves the performance of power electronics DC-DC converters. Following invention is described in detail with the help of Figure 1 of sheet 1 showing the sequence of steps followed when implementing Neuro Fuzzy Controller on FPGA.