In this research, artificial neural networks (ANN) and
sliding mode (SM) controllers are designed for islanded PV
energy generation system in order to improve the dynamic PV
energy production performance. Time domain simulation results
of the PV system subjected to major disturbances are provided
and investigated. To prove the superiority of the proposed
controllers, the obtained results of the developed ANN and SM
controllers are compared to conventional PI controller. From the
simulated results, ANN controller shows better performance in
comparison to SM and conventional PI controllers.