Artificial Intelligence in UAV Flight Controls: Deep Reinforcement Learning Based Altitude-Hold Strategies for Fixed-Wing UAVs

Artificial Intelligence in UAV Flight Controls: Deep Reinforcement Learning Based Altitude-Hold Strategies for Fixed-Wing UAVs

This paper implements a deep reinforcement learning (DRL) based flight control system for a fixed-wing uncrewed aerial vehicle (UAV). Unlike conventional flight control methods, DRL does not require an exact mathematical system model for the design and can handle non-linear coupled dynamics of highl...

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Bibliographic Details
Main Authors: Hasan Raza Khanzada, Adnan Maqsood, Abdul Basit
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Reinforcement learning
uncrewed aerial vehicles
attitude hold
PID control
hybrid control
altitude-hold
Online Access:https://ieeexplore.ieee.org/document/11045900/
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https://ieeexplore.ieee.org/document/11045900/

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