Artificial neural controller for maximum power point tracking ofphotovoltaic system

Maximum power point tracking (MPPT) is necessary for photovoltaic (PV) systems to collect the maximum photovoltaic array power under variations in the insolation and temperature. This paper presents an artificial neural controller for maximum power point tracking of photovoltaic system based on back- propagation algorithm. The tracking algorithm changes the duty cycle of the DC-DC converter so that PV module voltage equals the voltage corresponding to the MPPT at any given insolation level and temperature conditions.