Energy-Optimal Flight Strategy for Solar-Powered Aircraft Using Reinforcement Learning With Discrete Actions

Energy-Optimal Flight Strategy for Solar-Powered Aircraft Using Reinforcement Learning With Discrete Actions

The low efficiency of photovoltaic cells limits the energy absorption of high-altitude long-endurance (HALE) solar-powered unmanned aircraft vehicles (UAVs), which dramatically weakens the capacity for long-endurance missions. Therefore, finding a method to extend the flight duration with finite sol...

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Bibliographic Details
Main Authors: Wenjun Ni, Di Wu, Xiaoping Ma
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
High-altitude long-endurance aircraft
flight strategy optimization
automatic navigation
reinforcement learning
photovoltaic cell
Online Access:https://ieeexplore.ieee.org/document/9475451/

Internet

https://ieeexplore.ieee.org/document/9475451/

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