Open AccessDesign of a robust sliding mode controller for MPPT based on automation PLC for PV applications
Author(s) -
Ouberri Youness,
Yatimi Hanane,
Aroudam Elhassan
Publication year - 2020
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/2050-7038.12296
Subject(s) - maximum power point tracking , siemens , control theory (sociology) , robustness (evolution) , photovoltaic system , automation , sliding mode control , control engineering , engineering , programmable logic controller , controller (irrigation) , computer science , voltage , control (management) , nonlinear system , electrical engineering , artificial intelligence , mechanical engineering , agronomy , physics , inverter , quantum mechanics , biology , operating system , biochemistry , chemistry , gene
Summary This paper presents a novel automated design of the photovoltaic maximum power point tracking (MPPT), based on the robust sliding mode control, using the automation programmable logic controller (PLC) software. The aim is to maintain the photovoltaic system operating at its maximum by continuously tracking the maximum power point, with considerable oscillation reduction to overcome the drawbacks usually witnessed with standard MPPT algorithms using automation PLC. The studied system is modeled and simulated using the Siemens automation software (TIA portal), and an empirical implementation is implemented using the Siemens S7‐1200 PLC as a controller. To validate the robustness of the proposed sliding mode control, the system outcomes under variant meteorological conditions using both the sliding mode controller and the well‐known incremental conductance algorithm are compared. The results reveal that the sliding mode control provides smooth and precise MPPT that far exceeds the incremental conductance performance.