System Identification Guidance for Multirotor Aircraft: Dynamic Scaling and Test Techniques
State-space system identification was performed to extract flight dynamic models for hovering flight of a 55 cm, 1.56 kg hexacopter unmanned aerial vehicle. Different input excitation techniques were tested to determine which maneuvers provided high-quality system identification results for small-sc...
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Published in | Journal of the American Helicopter Society Vol. 66; no. 2; pp. 1 - 16 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
AHS International
01.04.2021
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Online Access | Get full text |
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Summary: | State-space system identification was performed to extract flight dynamic models for hovering flight of a 55 cm, 1.56 kg hexacopter unmanned aerial vehicle. Different input excitation techniques were tested to determine which maneuvers provided high-quality system identification results
for small-scale multirotor vehicles. These input excitation techniques included automated frequency sweeps, varying in amplitude, and multisine sweeps. Coherence, Cramer-Rao bounds, and insensitivities were used as metrics for comparing the system identification results. A parametric
variation of frequency sweep amplitudes were performed in all axes (roll, yaw, pitch, and heave) to provide guidance on frequency sweep amplitude for small-scale multirotor unmanned aerial systems. The dynamics of the 55 cm hexacopter were used to estimate the dynamics of a larger 127-cm hexacopter
via Froude scaling based on hub-to-hub distance as the characteristic length. The scaled results were compared to an actual system identification model of a 127-cm hexacopter. |
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Bibliography: | 2161-6027(20210401)66:2L.1;1- |
ISSN: | 2161-6027 2161-6027 |
DOI: | 10.4050/JAHS.66.022006 |