Super twisting sliding mode-type 2 fuzzy MPPT control of solar PV system with parameter optimization under variable irradiance conditions

The need for renewable energy sources is increasing while the use of non-environmentally energy sources is decreasing day by day. At this point, solar energy which is a great natural energy source comes to the fore. In this study, MPPT control is performed based on sliding mode control as a robust control method. A super-twisting sliding mode controller has been developed and type 2 fuzzy set has been adapted to the system to reduce the chattering problem. The developed MPPT control algorithm is applied to a solar PV system and tested under variable irradiance conditions. In addition, the parameters of super twisting sliding mode and type 2 fuzzy set are optimized. The efficiency of the proposed MPPT algorithm is presented with tables and graphics that contains sliding mode MPPT, super twisting sliding mode MPPT and super twisting sliding mode-type 2 fuzzy MPPT methods. The results show the MPPT efficiency of proposed system with a robust structure.(c) 2022 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Ain Shams Uni-versity. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).