Open AccessMPPT for Photovoltaic System Using Adaptive Fuzzy Backstepping Sliding Mode Control
Author(s) -
Attoui Hadjira,
Khalissa Behih,
Z. Bouchama,
Ziyad Nadjat
Publication year - 2021
Publication title -
european journal of electrical engineering
Language(s) - English
Resource type - Journals
eISSN - 2116-7109
pISSN - 2103-3641
DOI - 10.18280/ejee.230505
Subject(s) - backstepping , control theory (sociology) , maximum power point tracking , photovoltaic system , sliding mode control , lyapunov function , maximum power principle , controller (irrigation) , fuzzy logic , computer science , nonlinear system , adaptive control , fuzzy control system , lyapunov stability , control engineering , power (physics) , engineering , control (management) , inverter , physics , artificial intelligence , agronomy , quantum mechanics , electrical engineering , biology
This paper presents an intelligent monitoring control strategy for a maximum power point tracking (MPPT) in photovoltaic (PV) system applications. The design of the proposed nonlinear adaptive control law (AFBSMC) is formulated based on adaptive fuzzy systems, backstepping approach and sliding mode technique to maximize the power output of a PV system under various sets of conditions and parameters variation. Unlike many conventional controllers, the main contribution of the present paper provides a soften control law which useful to handle parameters variations due to the different operating conditions occurring on the PV system and makes the controller easy to implement. This aim is achieved using fuzzy systems in an adaptive scheme to approximate the switching control function of the global control law while backstepping sliding mode control compensates uncertainties and external disturbances. The analytical stability proof of the closed-loop system is corroborated via Lyapunov synthesis while numerical simulations of different operating conditions of a PV system is conducted to validate the effectiveness of the proposed approach.