A Virtual Laboratory for Aviation and Airspace Prognostics Research

Chetan Kulkarni; George Gorospe; Chris Teubert; Cuong C Quach; Edward Hogge; Kaveh Darafsheh

Integration of Unmanned Aerial Vehicles (UAVs), autonomy, spacecraft, and other aviation technologies, in the airspace is becoming more and more complicated, and will continue to do so in the future. Inclusion of new technology and complexity into the airspace increases the importance and difficulty of safety assurance. Additionally, testing new technologies on complex aviation systems and systems of systems can be challenging, expensive, and at times unsafe when implementing real life scenarios. The application of prognostics to aviation and airspace management may produce new tools and insight into these problems. Prognostic methodology provides an estimate of the health and risks of a component, vehicle, or airspace and knowledge of how that will change over time. That measure is especially useful in safety determination, mission planning, and maintenance scheduling. In our research, we develop a live, distributed, hardware- in-the-loop Prognostics Virtual Laboratory testbed for aviation and airspace prognostics. The developed testbed will be used to validate prediction algorithms for the real-time safety monitoring of the National Airspace System (NAS) and the prediction of unsafe events. In our earlier work1 we discussed the initial Prognostics Virtual Laboratory testbed development work and related results for milestones 1 & 2. This paper describes the design, development, and testing of the integrated tested which are part of milestone 3, along with our next steps for validation of this work. Through a framework consisting of software/hardware modules and associated interface clients, the distributed testbed enables safe, accurate, and inexpensive experimentation and research into airspace and vehicle prognosis that would not have been possible otherwise. The testbed modules can be used cohesively to construct complex and relevant airspace scenarios for research. Four modules are key to this research: the virtual aircraft module which uses the X-Plane simulator and X-PlaneConnect toolbox, the live aircraft module which connects fielded aircraft using onboard cellular communications devices, the hardware in the loop (HITL) module which connects laboratory based bench-top hardware testbeds and the research module which contains diagnostics and prognostics tools for analysis of live air traffic situations and vehicle health conditions. The testbed also features other modules for data recording and playback, information visualization, and air traffic generation. Software reliability, safety, and latency are some of the critical design considerations in development of the testbed.

Document ID

20170000871

Acquisition Source

Ames Research Center

Document Type

Conference Paper

Authors

Date Acquired

January 27, 2017

Publication Date

January 9, 2017

Publication Information

Publication: AIAA Modeling and Simulation Technologies Conference

Publisher: American Institute of Aeronautics and Astronautics

e-ISBN: 9781624104510

DOI: 10.2514/6.2017-1767

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Report/Patent Number

Meeting Information

Meeting: AIAA SciTech Forum and Exposition

Location: Grapevine, TX

Country: US

Start Date: January 9, 2017

End Date: January 13, 2017

Sponsors: American Institute of Aeronautics and Astronautics

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Public

Public Use Permitted.

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