Presentation + Paper
7 June 2024 Aerospace digital twins: examining applications of digital twin technology to unmanned aerial vehicles and satellites
Brett Sicard, Alex McCafferty-Leroux, Raveen Appuhamy, Andrew Newton, Patrick Kosierb, Stephen Andrew Gadsden
Author Affiliations +
Abstract
Unmanned aerial vehicles (UAV) and satellites are becoming increasingly popular in business, government, and military applications. Both have unique use cases and value, but they have several overlapping use cases and features. Most notably they are both used for observation, such as the case of climate monitoring or surveying and mapping. Satellites also have uses in communication and navigation by broadcasting signals and enabling technology such as global positioning systems (GPS). UAVs have also been deployed by the militaries across the world for both reconnaissance and offensive capabilities. Each are electro-mechanical systems with a several important components that need to be reliable and high performance. Maximizing the return in value for these assets might mean improving their performance, reliability, or longevity. One emerging technology that has the promise to do this is the digital twin (DT). DTs utilize a combination of multi-domain modeling and extensive data collection for real-time model updates. This real time updating can be utilized for advanced simulation, improved control, and advanced condition monitoring. DTs are an ideal platform for applying to UAVs and satellites to maximize their capabilities and values. As will be demonstrated in this work, DTs have been demonstrated to provide value in improving control performance, orientation and position tracking, condition monitoring, and fault detection in UAVs and satellites. A case study and preliminary work on a CubeSat attitude adjustment device DT has been presented and examined to display benefits of the concept.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brett Sicard, Alex McCafferty-Leroux, Raveen Appuhamy, Andrew Newton, Patrick Kosierb, and Stephen Andrew Gadsden "Aerospace digital twins: examining applications of digital twin technology to unmanned aerial vehicles and satellites", Proc. SPIE 13052, Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2024, 130520B (7 June 2024); https://doi.org/10.1117/12.3013115
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KEYWORDS
Data modeling

Unmanned aerial vehicles

Satellites

Modeling

Systems modeling

Control systems

Prototyping

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