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In this paper, a neural network (NN) field programmable gate array (FPGA) controller is designed. NN-FPGA controller implies building of a cost efficient neural network by using customizable blocks designed in the Simulink and Xilinx System Generator. Network parameters are mapped into a hardware structure that improves the performance and the efficiency.
Based on discussions of the hardware implementations of artificial neural network (ANN), the single layer architecture to FPGA of the back propagation artificial neural network (BP ANN) is proposed. To construct the single layer architecture, the computing blocks of BP ANN are presented. The construction of the single layer architecture is described. According the experiments of the implementation...
A primitive gas recognition system which can discriminate limited species of industrial gas was designed and simulated. The dasiaelectronic nosepsila consists of an array of 8 micro-hotplate based SnO2 thin film gas sensors with different selectivity patterns, signal collecting unit and a signal pattern recognition and decision part in programmable logic device chip. BP (back propagation) neural networks...
This paper introduces the preliminary results of the simulation and implementation of PV array based on neural network and Hardware Description language (VHDL). In fact, an experimental database of meteorological data (irradiation, temperature) and output electrical generation signals of the PV array (current and voltage) has been used in this study. The inputs of the ANN-PV array are the total solar...
In this paper, a radial basis function (RBF) neural network is implemented as a system on a programmable chip (SOPC) to carry out maximum power point tracking (MPPT) for photovoltaic (PV) control systems. The implementation of the SOPC can provide a traditional proportional integral derivative (PID) controller and some additional hardware like a pulse width modulation (PWM) generator by a general...
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