Academic Journals Database
Disseminating quality controlled scientific knowledge

Design of FPGA Based Neural Network Controller for Earth Station Power System

Author(s): Hanaa T. El-Madany

ISSN 1693-6930

Volume: 10;
Issue: 2;
Date: 2012;
Original page

Keywords: Earth station | neural network | FPGA | VHDL

Automation of generating hardware description language code from neural networks models can highly decrease time of implementation those networks into a digital devices, thus significant money savings. To implement the neural network into hardware designer, it is required to translate generated model into device structure. VHDL language is used to describe those networks into hardware. VHDL code has been proposed to implement ANNs as well as to present simulation results with floating point arithmetic of the earth station and the satellite power systems using ModelSimĀ® PE 6.6 simulator tool. Integration between MATLABĀ® and VHDL is used to save execution time of computation. The results shows that a good agreement between MATLAB and VHDL and a fast/flexible feed forward NN which is capable of dealing with floating point arithmetic operations; minimum number of CLB slices; and good speed of performance. FPGA synthesis results are obtained with view RTL schematic and technology schematic from Xilinix tool. Minimum number of utilized resources is obtained by using Xilinix VERTIX5.
Why do you need a reservation system?      Affiliate Program