Fractional Integral Terminal Sliding Mode MPPT Control for Photovoltaic System

Abstract

In modern era, solar energy has gained attention across the world in all renewable energy resources. The most well-known research area in photovoltaic (PV) system is to attain the maximum power point (MPP). The maximum power point tracking (MPPT) application for the solar system is greatly appreciable and plays the vital role in the making of efficient solar system. In this paper, fractional integral terminal sliding mode based (FITSMC) nonlinear MPPT control paradigm is presented for extraction of maximum power for the stand-alone PV system under continuously varying climatic conditions (i.e., temperature and solar irradiance), varying resistive load, fault and uncertainty. The non-inverting topology of Buck-Boost converter is used in this study. RBF NN (Radial basis function neural network) is trained to generate the reference for the proposed controller. MATLAB/Simulink tool is used for testing the performance of proposed MPPT controller. Lyapunov stability method is utilized for controller s finite time stability. Furthermore, FITSMC controller performance is validated through comparison with conventional techniques proportional integral derivative (PID) controller and perturb and observe (P&O) algorithm.