4 Artículos

Unmanned Aerial Vehicle Pitch Control under Delay Using Deep Reinforcement Learning with Continuous Action in Wind Tunnel Test

Acceso

en línea

Daichi Wada, Sergio A. Araujo-Estrada and Shane Windsor

Nonlinear flight controllers for fixed-wing unmanned aerial vehicles (UAVs) can potentially be developed using deep reinforcement learning. However, there is often a reality gap between the simulation models used to train these controllers and the real w... ver más

Revista: Aerospace Formato: Electrónico

Tabla de contenido: Vol: 8 Num: 0 Par: 9 Año: 2021

Unmanned Aerial Vehicle Pitch Control Using Deep Reinforcement Learning with Discrete Actions in Wind Tunnel Test

Acceso

en línea

Daichi Wada, Sergio A. Araujo-Estrada and Shane Windsor

Deep reinforcement learning is a promising method for training a nonlinear attitude controller for fixed-wing unmanned aerial vehicles. Until now, proof-of-concept studies have demonstrated successful attitude control in simulation. However, detailed exp... ver más

Revista: Aerospace Formato: Electrónico

Tabla de contenido: Vol: 8 Num: 0 Par: 1 Año: 2021

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