Scholarlink

<p>One of the most challenging issues while obtaining constant and maximum power from irradiance for a solar powered Unmanned Aerial Vehicle (UAV) is determining the optimal conditions to Maximum Power Point Tracking (MPPT). MPPT is critical for increasing the endurance of solar-powered UAVs. The aim of the study is to compare the operating efficiency of the Perturb and Observe (P&amp;O) algorithm, which is the most preferred MPPT algorithm for UAVs, at 5&#xa0;km and 25&#xa0;km altitudes. For this, irradiance and solar cell temperature are used as PV inputs and the efficiency of the MPPT algorithm is calculated in MATLAB/Simulink. It is seen that the P&amp;O algorithm operates with higher efficiency at high altitude, intense irradiance and low solar cell temperature conditions. The result of this study contributes to increased energy efficiency by reliably tracking the maximum power harvested from PV under different atmospheric densities and ambient temperatures, thanks to the P&amp;O algorithm of the UAV flying at different altitudes in practical applications. This article fills a gap in the literature by determining and comparing the operational efficiency of the P&amp;O algorithm at different altitudes for the solar powered High Altitude Platform (HAP), depending on months and ambient conditions.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Evaluation of P&O algorithm efficiency under varying conditions for solar powered unmanned aerial vehicle

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年11月18日

查看全文
  • Ozge Kucukkor,
  • Umut Durak,
  • Tahir Hikmet Karakoc

摘要

One of the most challenging issues while obtaining constant and maximum power from irradiance for a solar powered Unmanned Aerial Vehicle (UAV) is determining the optimal conditions to Maximum Power Point Tracking (MPPT). MPPT is critical for increasing the endurance of solar-powered UAVs. The aim of the study is to compare the operating efficiency of the Perturb and Observe (P&O) algorithm, which is the most preferred MPPT algorithm for UAVs, at 5 km and 25 km altitudes. For this, irradiance and solar cell temperature are used as PV inputs and the efficiency of the MPPT algorithm is calculated in MATLAB/Simulink. It is seen that the P&O algorithm operates with higher efficiency at high altitude, intense irradiance and low solar cell temperature conditions. The result of this study contributes to increased energy efficiency by reliably tracking the maximum power harvested from PV under different atmospheric densities and ambient temperatures, thanks to the P&O algorithm of the UAV flying at different altitudes in practical applications. This article fills a gap in the literature by determining and comparing the operational efficiency of the P&O algorithm at different altitudes for the solar powered High Altitude Platform (HAP), depending on months and ambient conditions.