The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Cette étude développe une nouvelle méthode de contrôle automatique du vol stationnaire basée sur une modélisation juste à temps pour un multicoptère. En particulier, l'objectif principal est de calculer les gains d'une loi de contrôle par rétroaction telle que le multicoptère plane à une hauteur souhaitée et à un moment souhaité sans dépassement/sous-dépassement. Tout d’abord, une base de données contenant diverses données de survol est construite, puis la méthode proposée calcule les gains pour une requête entrée dans la base de données. D'après les résultats de la simulation, il s'avère que le multicoptère atteint ses objectifs de contrôle et que la nouvelle méthode est donc efficace.
Tatsuya KAI
Tokyo University of Science
Ryouhei KAKURAI
TOTO LTD.
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Tatsuya KAI, Ryouhei KAKURAI, "A Data-Driven Gain Tuning Method for Automatic Hovering Control of Multicopters via Just-in-Time Modeling" in IEICE TRANSACTIONS on Fundamentals,
vol. E106-A, no. 3, pp. 644-646, March 2023, doi: 10.1587/transfun.2022EAL2064.
Abstract: This study develops a new automatic hovering control method based on just-in-time modeling for a multicopter. Especially, the main aim is to compute gains of a feedback control law such that the multicopter hovers at a desired height and at a desired time without overshoot/undershoot. First, a database that contains various hovering data is constructed, and then the proposed method computes gains for a query input from the database. From simulation results, it turns out that the multicopter achieves control purposes, and hence the new method is effective.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2022EAL2064/_p
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@ARTICLE{e106-a_3_644,
author={Tatsuya KAI, Ryouhei KAKURAI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Data-Driven Gain Tuning Method for Automatic Hovering Control of Multicopters via Just-in-Time Modeling},
year={2023},
volume={E106-A},
number={3},
pages={644-646},
abstract={This study develops a new automatic hovering control method based on just-in-time modeling for a multicopter. Especially, the main aim is to compute gains of a feedback control law such that the multicopter hovers at a desired height and at a desired time without overshoot/undershoot. First, a database that contains various hovering data is constructed, and then the proposed method computes gains for a query input from the database. From simulation results, it turns out that the multicopter achieves control purposes, and hence the new method is effective.},
keywords={},
doi={10.1587/transfun.2022EAL2064},
ISSN={1745-1337},
month={March},}
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TY - JOUR
TI - A Data-Driven Gain Tuning Method for Automatic Hovering Control of Multicopters via Just-in-Time Modeling
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 644
EP - 646
AU - Tatsuya KAI
AU - Ryouhei KAKURAI
PY - 2023
DO - 10.1587/transfun.2022EAL2064
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E106-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2023
AB - This study develops a new automatic hovering control method based on just-in-time modeling for a multicopter. Especially, the main aim is to compute gains of a feedback control law such that the multicopter hovers at a desired height and at a desired time without overshoot/undershoot. First, a database that contains various hovering data is constructed, and then the proposed method computes gains for a query input from the database. From simulation results, it turns out that the multicopter achieves control purposes, and hence the new method is effective.
ER -