Title: Optimised backstepping sliding mode controller with integral action for MPPT-based photovoltaic system using PSO technique

Authors: Fatima Ez-zahra Lamzouri; El-Mahjoub Boufounas; Mounir Hanine; Aumeur El Amrani

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

Abstract: In this paper, a new optimised backstepping sliding mode controller with integral action (BISMC) is proposed to achieve maximum power point tracking (MPPT) for solar photovoltaic (PV) system. The investigated PV system consists of a photovoltaic generator (PVG) as power source, a DC-DC boost converter and a resistive load. The designed controller can allow the PV system to operate around the estimated MPPT under abrupt atmospheric conditions variation. By introducing the integral action in the sliding surface, the system presents good dynamic performances. Furthermore, the proposed BISMC controller was combined with intelligent particle swarm optimisation (PSO) algorithm to improve the controller performance in terms of transition response and tracking error. Moreover, asymptotic stability is assured using Lyapunov stability analysis and MPP is achieved under varying temperature and irradiance levels. The simulation results were reported to demonstrate the performances of the considered controller.

Keywords: photovoltaic system; maximum power point tracking; MPPT; backstepping control; sliding mode control; SMC; integral action; particle swarm optimisation algorithm.

DOI: 10.1504/IJCAET.2023.127789

International Journal of Computer Aided Engineering and Technology, 2023 Vol.18 No.1/2/3, pp.97 - 109

Received: 02 Mar 2020
Accepted: 26 Jun 2020
Published online: 19 Dec 2022 *

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