Implementation of Optimized Approximate Sigmoid Function on FPGA Circuit to use in ANN for Control and Monitoring

Abstract

In this paper an approximation of sigmoid function in polynomial form has been proposed, then this function is optimized in order to implement that on FPGA using the Xilinx library. This implementation aim is to contribute in the hardware integration solutions in the areas such as monitoring, diagnosis, maintenance and control of power system as well as industrial processes. Since the Simulink library provided by Xilinx, has all the blocks that are necessary for the design of Artificial Neural Networks except a few functions such as sigmoid function. Tests results are satisfactory.

Keywords: ANN, FPGA, Xilinx, Sigmoid Function, power system.