期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2020
卷号：98
期号：14
页码：2872-2888
出版社：Journal of Theoretical and Applied
摘要：Maximum power point tracking (MPPT) methods are widely used with PV solar systems to maximize power extraction under variants whether conditions. On another hand the system stability around the maximum power point depends on the robustness of the used method for better load charging conditions. This paper presents a non-linear backstepping controller, based on the Lyapunov function, and applied to an autonomous PV system as a MPPT controller, to extract its maximum power, under simultaneous changes in solar radiation and temperature. A DC-DC boost converter is used as a bridge between the PV module and the load. To validate the robustness of the proposed backstepping controller, the system outcomes under variant meteorological conditions using both the backstepping controller and the well-known incremental conductance method are compared. The results based on analyzing and interpreting the power, voltage and current curves and system behavior, reveal that by using the backstepping controller, the asymptotic stability of the system is smoothly guaranteed with practically no oscillation around the maximum power point and far exceeds the incremental conductance performance in terms of speed and accuracy.
关键词：Photovoltaic (PV);Maximum Power Point Tracking (MPPT);Boost Converter;Backstepping Controller (BSC);Recursive Structure
