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.