Neuro-Fuzzy Buck Boost Converter Implement on FPGA

Abstract: The DC-DC power converters are widely used. However, the controller design for DC-DC power converters cannot easily design if load is dynamics vary widely. Therefore a Field Programmable Gate Array (FPGA) is proposed to build a neuro fuzzy system for controlling a nonlinear buck boost converter. A Very High speed integrated circuit Hardware Description Language (VHDL) has been used to implement the proposed controller. The main purpose behind implementation of the NF controller in VHDL is to minimize the hardware implementation cost of the generic NF controller for use in industrial applications. Xilinx ISE 13.1 program has been used as programming environment to type and synthesis the VHDL codes that described the neuro-fuzzy controller and to generate a configuration file which is used to program the FPGA board.

Keywords: Buck-Boost converter, FPGA, Neuro-Fuzzy Control, VHDL