Work

Maximum Power Extraction of Photovoltaic Systems Using Dynamic Sliding Mode Control and Sliding Observer

Year: 2025

Type: article

Abstract: In this paper a robust optimize controller is implement for the photovoltaic generator system (PVGS). The PVGS, composed of individual photovoltaic (PV) cells, converts solar energy into electrical energy. To optimize the efficiency of the PVGS under varying solar irradiance and varying temperatures, it necessitating a controller based maximum power point tracking (MPPT). Additionally, the PVGS output voltage is typically low for many applications. To achieve the MPPT and to gain the output voltage, an increasing boost converter (IBC) is employed with a smooth control signal adjusting its duty cycle. Another critical issue is the PVGS and IBC unknown sections, i.e. the total system uncertainty. Therefore, to address the system uncertainties and to regulate the smooth duty cycle the converter, a robust dynamic sliding mode control (DSMC) is promised. In DSMC, a low-pass integrator is placed before the system to suppress chattering and produce a smooth actuator signal. However, using an integrator in DSMC increases the system states, so a sliding mode observer (SMO) is proposed to estimate this additional state. To demonstrate the effectiveness of the proposed method and provide a reliable comparison, conventional sliding mode control (CSMC) with the same proposed SMO is also implemented.

Source: Mathematics

DOI: 10.3390/math13142305

Authors: Ali Karami-Mollaee, Oscar Barambones

Institutions: Hakim Sabzevari University, University of the Basque Country

Language: English

Topic: Photovoltaic System Optimization Techniques

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $3,137