An Integral-Backstepping Controller for Interleaved Boost Converter based on Photovoltaic Systems

Photovoltaic systems are one of the most widely used technologies for sustainable energy production due to their various advantages, such as being clean, free, and renewable energy sources. However, the power generated by the PV systems is strongly dependent on the atmospheric conditions. In addition, a suitable DC/DC converter must be used with a robust controller to facilitate system operation point changes associated with the changed climate conditions. In this paper, to deal with this challenge, a photovoltaic system based on four leg interleaved boost converter (FLIBC) has been proposed and studied. For robustness, the presented system is controlled using nonlinear integral backstepping control (IBSC) to track the maximum power point (MPP) and ensure an equal sharing current among the FLIBC legs. Moreover, the particle swarm optimization algorithm is used to find the optimum gains of the proposed IBSC. The entire system is simulated and validated using MATLAB/ Simulink environment. The simulation results demonstrate the efficiency of the proposed system based on the optimized IBSC (OIBSC) controller in terms of MPP tracking speed, overshoot and undershoot reduction, power ripple, and optimization of the performance term integral time square error (ITSE).