Open AccessDesign and implementation of an improved sliding mode controller for maximum power point tracking in a SEPIC based on PV system
Author(s) -
Shahdadi Amir,
Barakati S. Masoud,
Khajeh Ahmad
Publication year - 2019
Publication title -
engineering reports
Language(s) - English
Resource type - Journals
ISSN - 2577-8196
DOI - 10.1002/eng2.12042
Subject(s) - control theory (sociology) , photovoltaic system , robustness (evolution) , maximum power point tracking , nonlinear system , sliding mode control , maximum power principle , controller (irrigation) , computer science , control engineering , robust control , engineering , control system , control (management) , voltage , physics , agronomy , biochemistry , chemistry , electrical engineering , quantum mechanics , inverter , artificial intelligence , biology , gene
In this paper, a standalone photovoltaic (PV) system with an improved sliding mode control (SMC) based on the maximum power point tracking algorithm is presented. The system contains a solar panel, a single‐ended primary‐inductor converter, a control part, and a load. Because of the nonlinear behavior of the switching and solar panels, designing a nonlinear controller for the system is crucial. The principal purpose of this study is to propose a new approach to resist the PV system against uncertain conditions. The stability and robustness of the system are investigated in a normal situation, under uncertainty conditions, as well as under changes in environmental conditions. Both simulation and laboratory experimental results show that the controller has a precise and fast response in comparison with a more conventional controller.