Generalized Dynamic Fuzzy Neural Network-based Tracking Control of PV

Abstract

This paper introduces a new maximum power point tracking (MPPT) based on a new generalized dynamic fuzzy neural network (GD-FNN) for photovoltaic (PV) systems. Fuzzy control rules can be generated or deleted automatically according to their significance to the control system, and no predefined fuzzy rules are required. The basic principle and the implementation procedures of GD-FNN are elaborated in the paper and the PV simulation model in Matlab/Simulink is also developed. Compared with the conventional fuzzy control method, the proposed approach can effectively improve the MPPT speed and accuracy simultaneously. Furthermore, it is simple and can be easily implemented.