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A PIC controller for grid connected PV system using a FPGA based inverter

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7 Author(s)
Lima, J.C. ; Pontificia Univ. Catolica do Rio de Janeiro, Brazil ; Corleta, J.M. ; Medeiros, A. ; Canalli, V.M.
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The propose of this work is to describe the implementation of a controller for tracking the point of maximum power transfer based on neural networks, using a microcontroller of the PIC family, on energy systems that use photovoltaic panels. A neural network is used to determine, at each instant, the output voltage in a DC-DC boost converter connected to the solar panels, in way to obtain the maximum power transfer of these panels. This implementation releases the use of a great performance computer, once the neural network was already trained and this way, it can be implemented in a dedicated system. The maximum power transfer of the system is obtained adjusting the duty cycle of the DC-DC boost converter. One three-phase inverter was implemented with a new control circuit to generate the PWM signal

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Industrial Electronics, 2000. ISIE 2000. Proceedings of the 2000 IEEE International Symposium on  (Volume:1 )

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