Optimal BISMC Controller with Evolutionary Algorithm for MPPT based Photovoltaic System

The present paper considers an optimal robust backstepping integral sliding mode controller using particle swarm optimization (PSO-BISMC) based maximum power point tracking (MPPT) of a photovoltaic (PV) system in variable atmospheric conditions. The PSO-BISMC controller, proposed as an original approach, combines the features of both standard sliding mode control (SMC) and backstepping approaches. Moreover, the integral action is introduced in the tracking error term to improve the BSMC controller performance. On the other hand, the PSO method is applied to optimize the BISMC controller parameters. The controlled PV system stability is demonstrated using the lyapunov function. Furthermore, simulation studies of the proposed PSO-BISMC are investigated and compared with the BISMC controller as well as to the BSMC controller. Simulation results prove that the proposed approach show more robustness against atmospheric conditions variation with fast transition response and best tracking performance compared to other controllers (i.e. BISMC and BSMC).