An Intelligent MPPT controller using PID-like neuro-fuzzy controller for photovoltaic system

In this study, a new PID-like neuro-fuzzy controller (PIDNFC) is introduced to track the maximumpower point tracking (MPPT) for photovoltaic (PV) systems. The proposed controller combines a PIDcontroller with a neuro-fuzzy controller. An online algorithm based on gradient decent is used to tune theparameter of proposed controller. The simulation results show that the PID-like neuro-fuzzy controller basedMPPT has satisfactory performance and assures an exact convergence to the maximum power point (MPP)under complex shading patterns. Moreover, the proposed controller provides a rapid convergence to the MPPin instant transient variation of shading. No oscillations around the MPP, system independent and rapidconvergence can be mentioned as major benefits of the proposed method.

Keywords:

MPPT , photovoltaic system , PIDNFC , neuro-fuzzy controller , PIDNFC