Hybrid System: A Smart Choice for Real Time Application

Fuzzy logic based control system provides a simple and efficient method to control highly complex and imprecise situation. However, the lack of simple hardware designs that is the capable of implementing fuzzy controller's parameters in a single chip, sometimes limits the capability of fuzzy based system in an automotive and industrial environment. In present days, a reconfigurable hardware platform like field programmable gate array (FPGA) has become an alluring alternative to synthesis and implements the desired system with an appropriate design for automation tool. This paper aims to address different hardware implementation issues of fuzzy system on a real-time environment (FPGA) and also proposes the hardware friendly neuro-fuzzy technique as a better replacement of a fuzzy system. In this paper, a simple rule base has been realized on the Xilinx SPARTAN 3AN FPGA development board to bolster the feasibility and superiority of the neuro-fuzzy over the fuzzy system. For the purpose of hardware implementation, optimum choice in terms of speed, accuracy and resource utilization is obtained in case of neuro-fuzzy technique and the results are in conformation.