Article,
Design and Implementation of ANFIS Algorithm Using VHDL for Vechicular System
International Journal on Recent and Innovation Trends in Computing and Communication, 3 (2): 820--824 (February 2015)
DOI: 10.17762/ijritcc2321-8169.150284
Abstract
In this review paper Field Programmable Gate Array (FPGA) is proposed to build an Adaptive Neuro Fuzzy Inference System (ANFIS) algorithm for non linear behavior of the system. In the application of designing the algorithm for controlling a full vehicle nonlinear active suspension system. The algorithm for neural was Back propagation and for fuzzy takagi- sugeno-kang active suspension systems is very important for guaranteeing the riding comfort for passengers and road handling quality for a vehicle. It is shown that the ANFIS can modelize a nonlinear system very accurately by means of data taken from mathematical model. Firstly the MATLAB SIMULINK toolboxes are used to simulate the proposed controllers with the controlled model and to display the responses of the controlled model under different types of disturbance. But in this paper the implementation of the adaptive neuro fuzzy inference system algorithm using FPGA boards has been try to investigated in this work. The Xilinx ISE software is employed to synthesis the VHDL codes used to program the FPGA
