Abstract
This work explores the crucial roles that control theory and digital twins play in enhancing the performance of underactuated quadrotor unmanned aerial vehicles (QUAVs). It describes how the novel idea of digital twins combined with control theory could alter operations. Some basic ideas, such as the underactuated UAV model, various control schemes, and innovative techniques to improve autonomy and performance in QUAV missions in dynamic circumstances, may also be of interest to readers. It highlights recent developments and presents a game-changing idea of combining digital twin with computer vision, amalgamating artificial intelligence and internet of things like elements to improve sensing and perception better for autonomous flight control, human-UAV interaction, energy-efficient flight, and swarming UAVs. The reader may finally find suggestions for applying control theory and understandings of how incorporating digital twin technology could boost its revolutionary potential.
Original language | English |
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Pages (from-to) | 43291-43307 |
Number of pages | 17 |
Journal | IEEE Access |
Volume | 12 |
DOIs | |
State | Published - 2024 |
Bibliographical note
Publisher Copyright:© 2013 IEEE.
Keywords
- AI
- QUAVs
- control systems
- digital twin
- machine tools
- optimization
ASJC Scopus subject areas
- General Engineering
- General Computer Science
- General Materials Science