Design and implementation of flight control for an autonomous quadrotor

Paternain, Santiago - Tailanian, Matias - Rosa, Rodrigo - Canetti, Rafael

Resumen:

In this paper we describe the stages needed to achieve an autonomous stable platform with quadrotor architecture. Based on a commercial frame, we first design and integrate the instrumentation. An Inertial Measurement Unit (IMU), which also has a barometer, is added to the platform and accurately calibrated. The sensor fusion and signal filtering are done based on an Extended Kalman Filter (EKF). Finally, a proportional-integral controller based on an enhanced Linear Quadratic Regulator (LQR) algorithm is implemented in the control system, using the mathematical model of the quadrotor. The parameters of this model are obtained from the characterization of the unit, achieving at the end, a stable autonomous platform.


Detalles Bibliográficos
2017
Control systems
Propellers
Estimation
Accelerometers
Sensor fusion
Mathematical model
Unmanned aerial vehicles
Sistemas y Control
Inglés
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/43524
Acceso abierto
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
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author Paternain, Santiago
author2 Tailanian, Matias
Rosa, Rodrigo
Canetti, Rafael
author2_role author
author
author
author_facet Paternain, Santiago
Tailanian, Matias
Rosa, Rodrigo
Canetti, Rafael
author_role author
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collection COLIBRI
dc.creator.none.fl_str_mv Paternain, Santiago
Tailanian, Matias
Rosa, Rodrigo
Canetti, Rafael
dc.date.accessioned.none.fl_str_mv 2024-04-16T16:21:12Z
dc.date.available.none.fl_str_mv 2024-04-16T16:21:12Z
dc.date.issued.es.fl_str_mv 2017
dc.date.submitted.es.fl_str_mv 20240416
dc.description.abstract.none.fl_txt_mv In this paper we describe the stages needed to achieve an autonomous stable platform with quadrotor architecture. Based on a commercial frame, we first design and integrate the instrumentation. An Inertial Measurement Unit (IMU), which also has a barometer, is added to the platform and accurately calibrated. The sensor fusion and signal filtering are done based on an Extended Kalman Filter (EKF). Finally, a proportional-integral controller based on an enhanced Linear Quadratic Regulator (LQR) algorithm is implemented in the control system, using the mathematical model of the quadrotor. The parameters of this model are obtained from the characterization of the unit, achieving at the end, a stable autonomous platform.
dc.description.es.fl_txt_mv Trabajo presentado en URUCON, Montevideo, Uruguay, 2017
dc.identifier.citation.es.fl_str_mv Paternain, S, Tailanian, M, Rosa, R, Canetti, R. "Design and implementation of flight control for an autonomous quadrotor" Publicado en Proceedings of the IEEE URUCON, Montevideo, Uruguay, 23-25 oct., 2017, pp. 1-4, doi: 10.1109/URUCON.2017.8171898.
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/43524
dc.language.iso.none.fl_str_mv en
eng
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.es.fl_str_mv Control systems
Propellers
Estimation
Accelerometers
Sensor fusion
Mathematical model
Unmanned aerial vehicles
dc.subject.other.es.fl_str_mv Sistemas y Control
dc.title.none.fl_str_mv Design and implementation of flight control for an autonomous quadrotor
dc.type.es.fl_str_mv Ponencia
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description Trabajo presentado en URUCON, Montevideo, Uruguay, 2017
eu_rights_str_mv openAccess
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identifier_str_mv Paternain, S, Tailanian, M, Rosa, R, Canetti, R. "Design and implementation of flight control for an autonomous quadrotor" Publicado en Proceedings of the IEEE URUCON, Montevideo, Uruguay, 23-25 oct., 2017, pp. 1-4, doi: 10.1109/URUCON.2017.8171898.
instacron_str Universidad de la República
institution Universidad de la República
instname_str Universidad de la República
language eng
language_invalid_str_mv en
network_acronym_str COLIBRI
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oai_identifier_str oai:colibri.udelar.edu.uy:20.500.12008/43524
publishDate 2017
reponame_str COLIBRI
repository.mail.fl_str_mv mabel.seroubian@seciu.edu.uy
repository.name.fl_str_mv COLIBRI - Universidad de la República
repository_id_str 4771
rights_invalid_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
spelling 2024-04-16T16:21:12Z2024-04-16T16:21:12Z201720240416Paternain, S, Tailanian, M, Rosa, R, Canetti, R. "Design and implementation of flight control for an autonomous quadrotor" Publicado en Proceedings of the IEEE URUCON, Montevideo, Uruguay, 23-25 oct., 2017, pp. 1-4, doi: 10.1109/URUCON.2017.8171898.https://hdl.handle.net/20.500.12008/43524Trabajo presentado en URUCON, Montevideo, Uruguay, 2017In this paper we describe the stages needed to achieve an autonomous stable platform with quadrotor architecture. Based on a commercial frame, we first design and integrate the instrumentation. An Inertial Measurement Unit (IMU), which also has a barometer, is added to the platform and accurately calibrated. The sensor fusion and signal filtering are done based on an Extended Kalman Filter (EKF). Finally, a proportional-integral controller based on an enhanced Linear Quadratic Regulator (LQR) algorithm is implemented in the control system, using the mathematical model of the quadrotor. The parameters of this model are obtained from the characterization of the unit, achieving at the end, a stable autonomous platform.Made available in DSpace on 2024-04-16T16:21:12Z (GMT). No. of bitstreams: 5 PTRC17.pdf: 364598 bytes, checksum: 6793e2139f37a483908c988460ab373f (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4244 bytes, checksum: 528b6a3c8c7d0c6e28129d576e989607 (MD5) Previous issue date: 2017enengLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)Control systemsPropellersEstimationAccelerometersSensor fusionMathematical modelUnmanned aerial vehiclesSistemas y ControlDesign and implementation of flight control for an autonomous quadrotorPonenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaPaternain, SantiagoTailanian, MatiasRosa, RodrigoCanetti, RafaelSistemas y 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- Universidad de la Repúblicafalse
spellingShingle Design and implementation of flight control for an autonomous quadrotor
Paternain, Santiago
Control systems
Propellers
Estimation
Accelerometers
Sensor fusion
Mathematical model
Unmanned aerial vehicles
Sistemas y Control
status_str publishedVersion
title Design and implementation of flight control for an autonomous quadrotor
title_full Design and implementation of flight control for an autonomous quadrotor
title_fullStr Design and implementation of flight control for an autonomous quadrotor
title_full_unstemmed Design and implementation of flight control for an autonomous quadrotor
title_short Design and implementation of flight control for an autonomous quadrotor
title_sort Design and implementation of flight control for an autonomous quadrotor
topic Control systems
Propellers
Estimation
Accelerometers
Sensor fusion
Mathematical model
Unmanned aerial vehicles
Sistemas y Control
url https://hdl.handle.net/20.500.12008/43524