Maximizing efficiency in solar-powered UAVs: the role of MPPT algorithms in energy harvesting

Аннотация

The increasing demand for long-endurance Unmanned Aerial Vehicles (UAVs) has led to the exploration of solar-powered UAV systems. Solar energy offers a sustainable power source that can potentially extend the operational time of UAVs, especially during long-duration flights. However, to optimize the power generated from solar panels, it is crucial to operate the panels at their Maximum Power Point (MPP), which fluctuates in response to environmental conditions such as irradiance and temperature. Maximum Power Point Tracking (MPPT) technology is used to dynamically adjust the operating point of solar panels to ensure they operate at the MPP, maximizing energy harvest. This paper explores the importance of MPPT in solar-powered UAVs, delves into the principles of solar cell operation, reviews various MPPT algorithms (such as Hill Climbing and Incremental Conductance), and discusses their integration into UAV systems. Additionally, the paper highlights the design considerations and challenges involved in implementing MPPT for UAVs, including hardware efficiency, real-time tracking, and battery management. By optimizing solar energy harvesting and efficient power delivery, MPPT systems enhance the performance of solar-powered UAVs, making them suitable for a range of applications such as surveillance, environmental monitoring, and disaster response.