Neuro-Fuzzy Buck Boost Converter Implement on FPGA

Provided by: International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE)
Topic: Hardware
Format: PDF
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.

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