A new sliding mode controller implementation on an autonomous quadcopter system

This paper introduces Sliding Mode controller, a non linear controller, for the implementation of an autonomous quadrotor platform, a non linear system. The Sliding Mode controller was applied to a PixHawk Flight Controller using the Ardupilot firmware. The simulation testing using SITL shows the ef...

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Main Authors: Delica, Vincent, Orquia, Alfred, Piquero, Jayson, Ilao, Joel P., Reynaldo, Eloise, Roque, Ma. Antonette, Sybingco, Edwin, Chua, Alvin, Katupitya, Jayantha, Jayakody, Hiranya
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Published: Animo Repository 2019
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/3926
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-49052022-07-16T01:34:51Z A new sliding mode controller implementation on an autonomous quadcopter system Delica, Vincent Orquia, Alfred Piquero, Jayson Ilao, Joel P. Reynaldo, Eloise Roque, Ma. Antonette Sybingco, Edwin Chua, Alvin Katupitya, Jayantha Jayakody, Hiranya This paper introduces Sliding Mode controller, a non linear controller, for the implementation of an autonomous quadrotor platform, a non linear system. The Sliding Mode controller was applied to a PixHawk Flight Controller using the Ardupilot firmware. The simulation testing using SITL shows the effectiveness of the controller before flight. The results imply the improvement when using Sliding Mode Control in comparison to PID controller. The results show that there is a reduction in attitude error when using Sliding Mode Control in comparison with PID control in all simulation and actual hardware results . The robustness of Sliding Mode Control was also tested by adding parameter uncertainties and disturban ces to the system . In this study, the root mean square error obtained in the Sliding Mode Control is 1.546580%, 0.634243%, and 13.466256% for the roll, pitch, and yaw movements respectively, and the root mean square error obtained in the PID control is 2.5 88324%, 4.553838%, and 18.860183% for the roll, pitch, and yaw movements respectively. This shows that the quadrotor using Sliding Mode Control is less prone to attitude errors. © 2019, The Authors. 2019-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/3926 info:doi/10.5875/ausmt.v9i2.1876 Faculty Research Work Animo Repository Drone aircraft—Control systems Quadrotor helicopters Sliding mode control Electrical and Computer Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Drone aircraft—Control systems
Quadrotor helicopters
Sliding mode control
Electrical and Computer Engineering
spellingShingle Drone aircraft—Control systems
Quadrotor helicopters
Sliding mode control
Electrical and Computer Engineering
Delica, Vincent
Orquia, Alfred
Piquero, Jayson
Ilao, Joel P.
Reynaldo, Eloise
Roque, Ma. Antonette
Sybingco, Edwin
Chua, Alvin
Katupitya, Jayantha
Jayakody, Hiranya
A new sliding mode controller implementation on an autonomous quadcopter system
description This paper introduces Sliding Mode controller, a non linear controller, for the implementation of an autonomous quadrotor platform, a non linear system. The Sliding Mode controller was applied to a PixHawk Flight Controller using the Ardupilot firmware. The simulation testing using SITL shows the effectiveness of the controller before flight. The results imply the improvement when using Sliding Mode Control in comparison to PID controller. The results show that there is a reduction in attitude error when using Sliding Mode Control in comparison with PID control in all simulation and actual hardware results . The robustness of Sliding Mode Control was also tested by adding parameter uncertainties and disturban ces to the system . In this study, the root mean square error obtained in the Sliding Mode Control is 1.546580%, 0.634243%, and 13.466256% for the roll, pitch, and yaw movements respectively, and the root mean square error obtained in the PID control is 2.5 88324%, 4.553838%, and 18.860183% for the roll, pitch, and yaw movements respectively. This shows that the quadrotor using Sliding Mode Control is less prone to attitude errors. © 2019, The Authors.
format text
author Delica, Vincent
Orquia, Alfred
Piquero, Jayson
Ilao, Joel P.
Reynaldo, Eloise
Roque, Ma. Antonette
Sybingco, Edwin
Chua, Alvin
Katupitya, Jayantha
Jayakody, Hiranya
author_facet Delica, Vincent
Orquia, Alfred
Piquero, Jayson
Ilao, Joel P.
Reynaldo, Eloise
Roque, Ma. Antonette
Sybingco, Edwin
Chua, Alvin
Katupitya, Jayantha
Jayakody, Hiranya
author_sort Delica, Vincent
title A new sliding mode controller implementation on an autonomous quadcopter system
title_short A new sliding mode controller implementation on an autonomous quadcopter system
title_full A new sliding mode controller implementation on an autonomous quadcopter system
title_fullStr A new sliding mode controller implementation on an autonomous quadcopter system
title_full_unstemmed A new sliding mode controller implementation on an autonomous quadcopter system
title_sort new sliding mode controller implementation on an autonomous quadcopter system
publisher Animo Repository
publishDate 2019
url https://animorepository.dlsu.edu.ph/faculty_research/3926
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