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<p>Against the backdrop of the global energy transition, enhancing the energy-conversion efficiency of photovoltaic (PV) systems has become an essential technical requirement. To address issues such as error accumulation and sensitivity to environmental disturbances in traditional solar trackers, this study proposes a dual-axis hybrid-control solar tracking system. The system integrates periodic position prediction with real-time sensing, employing a solar-position algorithm for periodic coarse pointing and utilizing a high-performance digital light-sensor array together with a fuzzy adaptive PID controller to achieve real-time fine adjustments within each coarse-pointing cycle. Experimental results show that, under full-day outdoor conditions, the proposed hybrid control method, averaged over multiple field tests, achieves energy gains of 11.79 % and 3.35 % over single open-loop and closed-loop strategies, respectively. The developed system also shows good engineering applicability in control integration, structural design, and sensing implementation.</p>

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Design and implementation of a dual-axis solar tracking system based on the integration of light sensors and positioning algorithms

  • 期刊论文

  • 发表日期：

    2026年7月11日

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  • Jiaoyue Chai,
  • Chang Chen,
  • Shaohui Su,
  • An Zhu

摘要

Against the backdrop of the global energy transition, enhancing the energy-conversion efficiency of photovoltaic (PV) systems has become an essential technical requirement. To address issues such as error accumulation and sensitivity to environmental disturbances in traditional solar trackers, this study proposes a dual-axis hybrid-control solar tracking system. The system integrates periodic position prediction with real-time sensing, employing a solar-position algorithm for periodic coarse pointing and utilizing a high-performance digital light-sensor array together with a fuzzy adaptive PID controller to achieve real-time fine adjustments within each coarse-pointing cycle. Experimental results show that, under full-day outdoor conditions, the proposed hybrid control method, averaged over multiple field tests, achieves energy gains of 11.79 % and 3.35 % over single open-loop and closed-loop strategies, respectively. The developed system also shows good engineering applicability in control integration, structural design, and sensing implementation.