ANFIS Based MPPT Controller for DC Motor Drives Supplied by PV Power System

This paper aims to design an intelligent algorithm that tracks the maximum power from the photovoltaic system to drive a separately excited DC motor. Three algorithms were studied, namely: perturbation and observation, Sugino-based fuzzy logic control, and adaptive neural fuzzy inference system (ANFIS). The dynamic performance evaluation of the maximum power point tracking unit as well as the grid photovoltaic DC motor speed control was carried out using Matlab-SIMULINK. The proposed photovoltaic system was found feasible to generate the electricity needed to run the DC motor. The results of the simulation showed that the ANFIS-based controller is more robust than other algorithms in terms of obtaining a higher power rating, lower oscillations and reaching a steady state in a short time.