Efficiency adaptation method applied to stratosphere solar communication unmanned aerial vehicle

By constructing a dynamic solar radiation database and predicting communication load, the problem of power management and communication service coordination optimization for stratospheric solar-powered communication drones was solved. This enabled real-time response to environmental changes and precise adaptation of energy management, thereby improving the drone's endurance and communication stability.

CN121028811APending Publication Date: 2025-11-28HARBIN ENGINEERING UNIVERSITY SANYA NANHAI INNOVATION & DEVELOPMENT BASE
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Patent Information

Application Number
CN202511354466.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-22
Publication Date
2025-11-28

AI Technical Summary

Technical Problem

Existing stratospheric solar-powered communication drone systems cannot respond to environmental changes in real time, resulting in large errors in power prediction, overcharging waste, or undercharging interruption of flight time. Furthermore, they lack a linkage mechanism between communication load and energy distribution, leading to communication link interruption or energy waste.

Method used

A global dynamic stratospheric solar radiation intensity database is constructed. Communication load is predicted by combining LSTM and attention mechanism. Data is fused through adaptive Kalman filter algorithm. Dynamic threshold and multi-objective optimization mechanism are set to optimize UAV flight path and energy allocation in real time.

Benefits of technology

It enables real-time response to fluctuations in solar radiation and changes in communication load, avoiding inaccurate power management and communication link interruptions, thereby improving the drone's endurance and communication reliability.

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Abstract

According to the efficiency adaptation method applied to the solar communication unmanned aerial vehicle in the stratosphere, collaborative optimization of energy management and communication service of the solar unmanned aerial vehicle in the stratosphere environment is achieved by constructing a dynamic solar radiation database, predicting communication load and setting a dynamic threshold value and a multi-objective optimization mechanism. The method has the capability of responding to solar radiation fluctuation and communication load change in real time, effectively avoids the problems of misalignment of electric quantity management and interruption of a communication link, and remarkably improves the cruising ability and task reliability of the unmanned aerial vehicle. Meanwhile, according to the method, through a data-driven closed-loop optimization mechanism, the energy utilization efficiency and the communication quality are both considered, and the method has good practicability and popularization value.
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