Enhancing Exploration Efficiency of Fixed-Wing UAVs Through Intelligent Decision-Making and Advanced Control Integration

Sie sind hier: Homepage > Suche

Enhancing Exploration Efficiency of Fixed-Wing UAVs Through Intelligent Decision-Making and Advanced Control Integration

Zhang, Yibo / Han, Liang / Li, Xiaoduo / Yu, Haoyang / Ren, Zhang

With the ongoing development of intelligent technologies, fixed-wing unmanned aerial vehicles (UAVs) are gaining prominence across diverse sectors. This study focuses on complex environment exploration. It employs the Dyna-Q reinforcement learning algorithm to derive optimal waypoints in obstacle-rich settings. These waypoints are pivotal for task allocation, ensuring judicious deployment of UAV clusters for targeted exploration. Concurrently, B-spline techniques refine these waypoints into feasible flight trajectories for UAVs. Subsequently, distributed model predictive control (DMPC) is utilized to maintain a designated cluster configuration. This DMPC controller ensures trajectory tracking along optimized paths, facilitating thorough area exploration. Then the approach is validated and evaluated through simulation experiments using a laboratory-developed simulation platform.

Zugriff

Zugriff prüfen

Verfügbarkeit in meiner Bibliothek prüfen

Bestellung bei Subito €

Exportieren, teilen und zitieren

Dokumentinformationen

Titel :

Enhancing Exploration Efficiency of Fixed-Wing UAVs Through Intelligent Decision-Making and Advanced Control Integration

Weitere Titelangaben:

Lect. Notes Electrical Eng.

Beteiligte:

Jiang, Guo-Ping (Herausgeber:in) / Wang, Mengyi (Herausgeber:in) / Ren, Zhang (Herausgeber:in) / Zhang, Yibo (Autor:in) / Han, Liang (Autor:in) / Li, Xiaoduo (Autor:in) / Yu, Haoyang (Autor:in) / Ren, Zhang (Autor:in)

Kongress:

Chinese Conference on Swarm Intelligence and Cooperative Control ; 2023 ; Nanjing, China November 24, 2023 - November 27, 2023

Erschienen in:

Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control ; Kapitel : 21 ; 231-242

Lecture Notes in Electrical Engineering ; 1204

Erscheinungsdatum :

2024-07-12

Format / Umfang :

12 pages

ISBN :

978-981-97-3340-8 , 978-981-97-3339-2

ISSN :