A novel ANFIS controller for maximum power point tracking in photovoltaic systems

This paper presents the design of a controller for maximum power point tracking (MPPT) of a photovoltaic system. The proposed controller relies upon an adaptive neuro-fuzzy inference system (ANFIS) which is designed as a combination of the concepts of Sugeno fuzzy model and neural network. The controller employs the ANFIS of five layers with nine fuzzy rules. Simulations with practical parameters show that our proposed MPPT using ANFIS outperform the conventional MPPT controller terms of tracking speed and accuracy. Moreover, the system is implemented on Pentium PC, from which preliminary experimental results are presented.