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Design and implementation of a predictive control system for a photovoltaic generator

This work shows a new control method for an isolated photovoltaic system using a finite control set model predictive control (FCS-MPC). The designed control system gives us a good tracking of the optimum current reference, current at which the maximum power is reached. The photovoltaic system is connected to a variable resistive load through a DC/DC boost converter. The FCS-MPC controller gives the appropriate duty cycle (D) to the DC/DC convertor in order for the PVG generates its maximum power. The control system was implemented and compared on simulation with a well known control scheme, the PID controller. The systems were implemented on the simulation platform MATLAB-Simulink. The results obtained in the simulation stage, shows that the FCS-MPC presents a more precise maximum power point tracking, with a lower settling time and remaining stable during the process. Finally, the operation of the FCS-MPC was tested on a real PV system consisting of a Mitsubishi commercial photovoltaic array model 185MF5. In order to perform the real time experimental tests, the control strategy has been implemented on the dSPACE DS1104 digital signal processor. The obtained experimental results shown the validity of the control method applied in photovoltaic commercial systems.