Title: Nonlinear controller for MPPT based photovoltaic system under variable atmospheric conditions

Authors: Fatima Ez-zahra Lamzouri; El-mahjoub Boufounas; Aumeur El Amrani

Addresses: Department of Physics, REIPT Laboratory, Faculty of Sciences and Technology, Moulay Ismail University of Meknes, BP 509, Boutalamine 52000, Errachidia, Morocco ' Department of Physics, REIPT Laboratory, Faculty of Sciences and Technology, Moulay Ismail University of Meknes, BP 509, Boutalamine 52000, Errachidia, Morocco ' Department of Physics, REIPT Laboratory, Faculty of Sciences and Technology, Moulay Ismail University of Meknes, BP 509, Boutalamine 52000, Errachidia, Morocco

Abstract: This present paper depicts a robust controller design based on backstepping sliding mode controller (BSMC) for maximum power point tracking (MPPT) of a photovoltaic (PV) system. The investigated PV system is based on a PV module as power source, a DC-DC boost converter and a resistive load. A modified conventional perturb and observe (P&O) algorithm based MPPT control is designed, which presents good performances under constant atmospheric conditions. However, the solar radiation and cell temperature variations present a major effect on the PV output power. Thus, the proposed BSMC controller can allow to the PV system operate around the estimated MPPT under variable atmospheric conditions. Furthermore, the Lyapunov theory is used in order to demonstrate the stability of the PV system with BSMC controller. Moreover, the investigated control approach effectiveness is exhibited by comparing the developed BSMC controller, conventional sliding mode controller (SMC) and modified P&O algorithm. For the proposed BSMC approach, the obtained results with simulation illustrate good efficiency in terms of transition response, tracking error and fast response to atmospheric conditions variation.

Keywords: photovoltaic system; MPPT; maximum power point tracking; SMC; sliding mode control; backstepping approach; perturb and observe algorithm.

DOI: 10.1504/IJMIC.2020.113289

International Journal of Modelling, Identification and Control, 2020 Vol.35 No.1, pp.29 - 39

Received: 21 Oct 2019
Accepted: 26 Mar 2020
Published online: 26 Feb 2021 *

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