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

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