CPSLab Cyber-Physical Systems Lab, Boston University

Publications Unmanned Aircraft & Flight Testing

Expanded Flight & Ground Testing Data Set for an Unmanned Aircraft: Great Planes Avistar Elite

Or D. Dantsker, Marco Caccamo, Renato Mancuso

AIAA SciTech 2023 Forum, January 2023, National Harbor, MD, USA

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Figure 3: The major airframe components of the un-built Great Planes Avistar Elite [image taken from Great Planes 33 ].

Abstract

This paper presents the recently expanded flight and ground testing data set for a trainer-type unmanned aircraft, the Great Planes Avistar Elite. This is in the series of aircraft data sets that are being published online and freely available as part of the Unmanned Aerial Vehicle Database (UAVDB). The database is being continually expanded including aircraft and their components (e.g. propellers) as they are tested. This paper includes ground measurement, aircraft modeling, and flight testing results. Specifically, ground testing includes 3D scanning of geometry, moment of inertia testing, and propeller performance testing. Aircraft modeling includes a Solidworks CAD model, computational aerodynamics tool models in AVL, XFLR5, and Fluent, a propulsion system power model, and a flight simulation model in the X-Plane flight simulator. Flight testing results as well as testing and setup techniques are presented. Additionally, details regarding aircraft construction and instrumentation are provided.

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Cite this paper

@inproceedings{ExtTestingAvistar_AIAA23,
  title     = {{Expanded Flight \& Ground Testing Data Set for an Unmanned Aircraft: Great Planes Avistar Elite}},
  author    = {Dantsker, Or D. and Caccamo, Marco and Mancuso, Renato},
  booktitle = {AIAA SciTech 2023 Forum},
  year      = 2023,
  month     = jan,
  address   = {National Harbor, MD, USA},
  doi       = {10.2514/6.2023-2105},
  url       = {https://doi.org/10.2514/6.2023-2105}
}

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