Synchronizing Test Encounter Entry for Multiple Autonomous Aircraft

Autonomous systems must safely and consistently operate in the national airspace; thus, developers must exhaustively test all interactions among the systems and other aircraft. Testing must include air-to-air encounters at many different geometries and altitudes to capture the wide range of possible real-life scenarios. As well, all encounters must be synchronized in time in order to achieve the desired interaction at a given encounter point of interest. We propose an algorithm that can generate trajectories for multiple autonomous aircraft from any start poses to any end poses, allowing any encounter geometry to be realized from any initial geometry without requiring additional effort by the pilot. Inefficiencies are thus removed from the test process, the pilot’s workload is lessened, and the margin of safety is increased. We successfully implemented this algorithm on two autonomous aircraft as part of the National Aeronautics and Space Administration Integration of Automated Systems project.

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Publication Details

Journal
Journal of Aerospace Information Systems
Published
2025-02-07
DOI
https://doi.org/10.2514/1.i011488
Primary Topic
Air Traffic Management and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Synchronizing Test Encounter Entry for Multiple Autonomous Aircraft

Jan Scofield, Ethan Williams, P. Sampson
Journal of Aerospace Information Systems
Air Traffic Management and Optimization
article

Synchronizing Test Encounter Entry for Multiple Autonomous Aircraft

Jan Scofield, Ethan Williams, P. Sampson
article en

Abstract

Autonomous systems must safely and consistently operate in the national airspace; thus, developers must exhaustively test all interactions among the systems and other aircraft. Testing must include air-to-air encounters at many different geometries and altitudes to capture the wide range of possible real-life scenarios. As well, all encounters must be synchronized in time in order to achieve the desired interaction at a given encounter point of interest. We propose an algorithm that can generate trajectories for multiple autonomous aircraft from any start poses to any end poses, allowing any encounter geometry to be realized from any initial geometry without requiring additional effort by the pilot. Inefficiencies are thus removed from the test process, the pilot’s workload is lessened, and the margin of safety is increased. We successfully implemented this algorithm on two autonomous aircraft as part of the National Aeronautics and Space Administration Integration of Automated Systems project.

Journal of Aerospace Information SystemsVol. 22(5)
American Systems (United States) (US)
Armstrong Flight Research Center
Openalex Percentile: Top 97%
Air Traffic Management and Optimization
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