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Abstract: The output characteristics of solar photovoltaic arrays are highly nonlinear due to environmental influences. To enhance the overall efficiency of the system, it is crucial to adjust the operating point of photovoltaic cells in real-time and implement Maximum Power Point Tracking (MPPT) to ensure continuous operation near the maximum power point. Based on the analysis of the volt-ampere characteristics of solar cells, this study employs an adaptive perturbation observation algorithm to design an MPPT control system using TMS320F2812. Experimental results demonstrate that the system can accurately track the maximum power point under this algorithm's control.

Keywords: photovoltaic cell; maximum power tracking; maximum power point tracking; TMS320F2812

O Introduction: As the process of economic globalization accelerates and the industrial economy rapidly develops, the energy crisis has become a pressing issue for humanity. Developing new alternative energy sources has become essential. Solar energy, as an inexhaustible green energy source, offers numerous advantages such as cleanliness, safety, abundant resources, long lifespan, and low maintenance requirements. Despite these benefits, practical applications of photovoltaic power generation still face challenges, one of which is the low photoelectric conversion efficiency of solar arrays. Addressing this issue requires real-time adjustment of the photovoltaic cell's operating point and implementation of MPPT to ensure operation near the maximum power point. Currently, the MPPT problem in photovoltaic systems has become a hot topic in academic research.

The advent of high-performance digital signal processing chips (DSPs) has enabled the application of advanced control strategies in photovoltaic power generation systems. In this context, this paper utilizes TMS320F2812 from Texas Instruments (TI) to control and conduct theoretical and experimental research on solar power generation systems, which holds significant practical importance.

1 Characteristics of Photovoltaic Cells: The output characteristics of solar cells are nonlinear and influenced by factors such as light intensity and ambient temperature. Figure 1 illustrates the equivalent circuit of the solar cell. Figures 2 and 3 display the IV and PV characteristics of photovoltaic cells at varying temperatures and sunlight intensities, respectively.

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As global energy demands continue to rise, photovoltaic technology remains a key focus for sustainable energy solutions. The integration of advanced control algorithms like MPPT ensures optimal performance and efficiency in solar power generation systems. Future research will explore further optimizations and novel control strategies to address the challenges faced in photovoltaic applications.

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