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Terminal attack trajectories of peregrine falcons are described by the proportional navigation guidance law of missiles
The ability to intercept uncooperative targets is key to many diverse flight behaviors, from courtship to predation. Previous research has looked for simple geometric rules describing the attack trajectories of animals, but the underlying feedback laws have remained obscure. Here, we use GPS loggers...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5754800/ https://www.ncbi.nlm.nih.gov/pubmed/29203660 http://dx.doi.org/10.1073/pnas.1714532114 |
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author | Brighton, Caroline H. Thomas, Adrian L. R. Taylor, Graham K. |
author_facet | Brighton, Caroline H. Thomas, Adrian L. R. Taylor, Graham K. |
author_sort | Brighton, Caroline H. |
collection | PubMed |
description | The ability to intercept uncooperative targets is key to many diverse flight behaviors, from courtship to predation. Previous research has looked for simple geometric rules describing the attack trajectories of animals, but the underlying feedback laws have remained obscure. Here, we use GPS loggers and onboard video cameras to study peregrine falcons, Falco peregrinus, attacking stationary targets, maneuvering targets, and live prey. We show that the terminal attack trajectories of peregrines are not described by any simple geometric rule as previously claimed, and instead use system identification techniques to fit a phenomenological model of the dynamical system generating the observed trajectories. We find that these trajectories are best—and exceedingly well—modeled by the proportional navigation (PN) guidance law used by most guided missiles. Under this guidance law, turning is commanded at a rate proportional to the angular rate of the line-of-sight between the attacker and its target, with a constant of proportionality (i.e., feedback gain) called the navigation constant (N). Whereas most guided missiles use navigation constants falling on the interval 3 ≤ N ≤ 5, peregrine attack trajectories are best fitted by lower navigation constants (median N < 3). This lower feedback gain is appropriate at the lower flight speed of a biological system, given its presumably higher error and longer delay. This same guidance law could find use in small visually guided drones designed to remove other drones from protected airspace. |
format | Online Article Text |
id | pubmed-5754800 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-57548002018-01-08 Terminal attack trajectories of peregrine falcons are described by the proportional navigation guidance law of missiles Brighton, Caroline H. Thomas, Adrian L. R. Taylor, Graham K. Proc Natl Acad Sci U S A Biological Sciences The ability to intercept uncooperative targets is key to many diverse flight behaviors, from courtship to predation. Previous research has looked for simple geometric rules describing the attack trajectories of animals, but the underlying feedback laws have remained obscure. Here, we use GPS loggers and onboard video cameras to study peregrine falcons, Falco peregrinus, attacking stationary targets, maneuvering targets, and live prey. We show that the terminal attack trajectories of peregrines are not described by any simple geometric rule as previously claimed, and instead use system identification techniques to fit a phenomenological model of the dynamical system generating the observed trajectories. We find that these trajectories are best—and exceedingly well—modeled by the proportional navigation (PN) guidance law used by most guided missiles. Under this guidance law, turning is commanded at a rate proportional to the angular rate of the line-of-sight between the attacker and its target, with a constant of proportionality (i.e., feedback gain) called the navigation constant (N). Whereas most guided missiles use navigation constants falling on the interval 3 ≤ N ≤ 5, peregrine attack trajectories are best fitted by lower navigation constants (median N < 3). This lower feedback gain is appropriate at the lower flight speed of a biological system, given its presumably higher error and longer delay. This same guidance law could find use in small visually guided drones designed to remove other drones from protected airspace. National Academy of Sciences 2017-12-19 2017-12-04 /pmc/articles/PMC5754800/ /pubmed/29203660 http://dx.doi.org/10.1073/pnas.1714532114 Text en Copyright © 2017 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Biological Sciences Brighton, Caroline H. Thomas, Adrian L. R. Taylor, Graham K. Terminal attack trajectories of peregrine falcons are described by the proportional navigation guidance law of missiles |
title | Terminal attack trajectories of peregrine falcons are described by the proportional navigation guidance law of missiles |
title_full | Terminal attack trajectories of peregrine falcons are described by the proportional navigation guidance law of missiles |
title_fullStr | Terminal attack trajectories of peregrine falcons are described by the proportional navigation guidance law of missiles |
title_full_unstemmed | Terminal attack trajectories of peregrine falcons are described by the proportional navigation guidance law of missiles |
title_short | Terminal attack trajectories of peregrine falcons are described by the proportional navigation guidance law of missiles |
title_sort | terminal attack trajectories of peregrine falcons are described by the proportional navigation guidance law of missiles |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5754800/ https://www.ncbi.nlm.nih.gov/pubmed/29203660 http://dx.doi.org/10.1073/pnas.1714532114 |
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