Automation of generating hardware description language code of 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 design, 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 ModelSim® PE 6.6 simulator tool. Integration between MATLAB® and VHDL is used to save execution time of computation. The results shows that a good agreement between MATLAB and VHDL and a fast and 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.


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    Title :

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



    Publication date :

    2012-06-01


    Remarks:

    doi:10.12928/telkomnika.v10i2.796
    TELKOMNIKA (Telecommunication Computing Electronics and Control); Vol 10, No 2: June 2012; 281-290 ; 2302-9293 ; 1693-6930 ; 10.12928/telkomnika.v10i2



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    DDC:    629




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