Using Real-Time Weather Data from an Unmanned Aircraft System to Support the Advanced Research Version of the Weather Research and Forecast Model

In this paper, a novel neurobiologically-inspired intelligent tracking controller is developed and implemented for unmanned aircraft systems in the presence of uncertain system dynamics and disturbance. The methodology adopted, known as Brain Emotional Learning Based Intelligent Controller (BELBIC), is based on a novel computational model of emotional learning within brain limbic systems in mammals. Compared to conventional model-based control methods, BELBICs are more suitable for practical unmanned aircraft systems since they can maintain the real-time unmanned aircraft system performance without known system dynamics and disturbance. Furthermore, the learning capability and low computational complexity of BELBIC mean that it is very promising for implementation in complex real-time applications. Moreover, we proved that our proposed methodology guarantees convergence. To evaluate the practical performance of our proposed design, BELBIC has been implemented into a benchmark unmanned aircraft system. Numerical and experimental results demonstrated the applicability and satisfactory performance of the proposed BELBIC-inspired design.

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Real-Time Powerline Detection System for an Unmanned Aircraft System

2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ◽

10.1109/smc42975.2020.9283354 ◽

2020 ◽

Author(s):

Srikanth Vemula ◽

Michael Frye

Keyword(s):

Real Time ◽

Detection System ◽

Unmanned Aircraft ◽

Unmanned Aircraft System ◽

Aircraft System

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Real‐time compensation of magnetic data acquired by a single‐rotor unmanned aircraft system

Geophysical Prospecting ◽

10.1111/1365-2478.12800 ◽

2019 ◽

Vol 67 (6) ◽

pp. 1637-1651 ◽

Cited By ~ 6

Author(s):

L. Tuck ◽

C. Samson ◽

C. Polowick ◽

J. Laliberté

Keyword(s):

Real Time ◽

Unmanned Aircraft ◽

Magnetic Data ◽

Unmanned Aircraft System ◽

Aircraft System

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Testing and Evaluating Low Altitude Unmanned Aircraft System Technology for Maritime Domain Awareness and Oil Spill Response in the Arctic

Marine Technology Society Journal ◽

10.4031/mtsj.49.2.23 ◽

2015 ◽

Vol 49 (2) ◽

pp. 145-150 ◽

Cited By ~ 1

Author(s):

Todd Jacobs ◽

Michelle Jacobi ◽

Mark Rogers ◽

Jeremy Adams ◽

John “JC” Coffey ◽

...

Keyword(s):

Real Time ◽

Oil Spill ◽

Unmanned Aircraft ◽

The Arctic ◽

Unmanned Aircraft System ◽

Oil Spill Response ◽

Aircraft System ◽

Real Time Information ◽

Maritime Domain Awareness ◽

Time Information

AbstractNational and international policies and treaties require the protection and exploration of the Arctic. The maritime services play a primary role in pursuing responsible Arctic stewardship by protecting the environment and the personnel conducting operations and research in this harsh environment. The National Oceanic and Atmospheric Administration (NOAA) is an important partner to the U.S. Coast Guard (USCG) in hazard response and mitigation (including oil spills and search and rescue). During Arctic Shield exercises, as part of the USCG Research and Development Center's Arctic Technology Evaluation, manned and unmanned systems including the AeroVironment Puma™ All Environment (AE) (Puma) Unmanned Aircraft System (UAS), were used to provide real-time information for maritime domain awareness and oil spill response in the Arctic. Real-time information distribution and maritime domain awareness are critical to prepare for and respond to potential environmental disasters in the Arctic. Additionally, the Puma was assessed for shipboard operations capabilities, Arctic air space coordination, deconfliction and safety issues, and real-time data visualization through the Arctic Environmental Response Management Application® as part of a larger data management plan. The results are provided from the successful Puma testing during the Arctic Shield 2013 and 2014 exercises aboard the USCG Cutter (USCGC; Icebreaker) Healy. An overview of these operations is given with recommendations for future testing and technology assessments of small UAS platforms for Arctic shipboard operational deployments. These findings are put into context for utilization in the field to support operations and decision making in the case of a real oil spill in the Arctic region.

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