Abstract:-In this paper an (Adaptive Neuro Fuzzy(NF) Inference System algorithm)ANFISA proposed and try to implemented using FPGA(FIELD PROGRAMMABLE GATE ARRAY)for the behavior of the system will be nonlinear. In the application of designing the algorithm for vehicular controlling of nonlinear active suspension system. The algorithm for neural was Back propagation(BPN) and for fuzzy takagi-sugeno-kang active suspension systems is very important for guaranteeing the passengers feel the comfortable riding and also road handled 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 were use for to simulate the proposed controllers in the pre view paper and to display the responses of the controlled model under different types of disturbance. But in this paper the implementation of t he (ANFIS)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.