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    Rights statement: This is the author’s version of a work that was accepted for publication in IFAC-PapersOnLine. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in IFAC-PapersOnLine, 55, 10, 2022 DOI: 10.1016/j.ifacol.2022.10.110

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A Nonlinear Discrete-Time Sliding Mode Controller for Autonomous Navigation of an Aerial Vehicle Using Hector SLAM

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A Nonlinear Discrete-Time Sliding Mode Controller for Autonomous Navigation of an Aerial Vehicle Using Hector SLAM. / Can, Aydin; Price, Joshua; Montazeri, Allahyar.
In: IFAC-PapersOnLine, Vol. 55, No. 10, 31.12.2022, p. 2653–2658.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Can A, Price J, Montazeri A. A Nonlinear Discrete-Time Sliding Mode Controller for Autonomous Navigation of an Aerial Vehicle Using Hector SLAM. IFAC-PapersOnLine. 2022 Dec 31;55(10):2653–2658. Epub 2022 Oct 26. doi: 10.1016/j.ifacol.2022.10.110

Author

Can, Aydin ; Price, Joshua ; Montazeri, Allahyar. / A Nonlinear Discrete-Time Sliding Mode Controller for Autonomous Navigation of an Aerial Vehicle Using Hector SLAM. In: IFAC-PapersOnLine. 2022 ; Vol. 55, No. 10. pp. 2653–2658.

Bibtex

@article{35c67d3dd36641f8abd221692786c958,
title = "A Nonlinear Discrete-Time Sliding Mode Controller for Autonomous Navigation of an Aerial Vehicle Using Hector SLAM",
abstract = "In this paper, a discrete-time sliding mode controller (DTSMC) is designed for full position and attitude control of a quadrotor UAV. The aim of this study is to design a controller suitable for practical implementation on an autonomous quadrotor for remote sensing in hostile nuclear environments. A nested DTSMC is developed and compared against two continuous-time sliding mode control methods; classical SMC, as well as a chattering-free SMC (CFSMC), studied in the previous works. The performance of the controllers is evaluated in combination with the Hector SLAM algorithm for localisation in GPS-denied environments. For this purpose, MATLAB in combination with the Robotic Operating System (ROS) is used to develop the controllers. Control signals are sent from MATLAB to the Gazebo simulation environment in ROS, which simulates the quadrotor and runs the Hector SLAM algorithm.",
keywords = "Sliding mode control, Quadrotor control, Nonlinear discrete-time control, Hector SLAM, Trajectory tracking",
author = "Aydin Can and Joshua Price and Allahyar Montazeri",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in IFAC-PapersOnLine. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in IFAC-PapersOnLine, 55, 10, 2022 DOI: 10.1016/j.ifacol.2022.10.110; 10th IFAC Conference on Manufacturing Modelling, Management and Control, IFAC MIM 2022 ; Conference date: 22-06-2022 Through 24-06-2022",
year = "2022",
month = dec,
day = "31",
doi = "10.1016/j.ifacol.2022.10.110",
language = "English",
volume = "55",
pages = "2653–2658",
journal = "IFAC-PapersOnLine",
issn = "2405-8963",
publisher = "IFAC Secretariat",
number = "10",
url = "https://hub.imt-atlantique.fr/mim2022/",

}

RIS

TY - JOUR

T1 - A Nonlinear Discrete-Time Sliding Mode Controller for Autonomous Navigation of an Aerial Vehicle Using Hector SLAM

AU - Can, Aydin

AU - Price, Joshua

AU - Montazeri, Allahyar

N1 - This is the author’s version of a work that was accepted for publication in IFAC-PapersOnLine. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in IFAC-PapersOnLine, 55, 10, 2022 DOI: 10.1016/j.ifacol.2022.10.110

PY - 2022/12/31

Y1 - 2022/12/31

N2 - In this paper, a discrete-time sliding mode controller (DTSMC) is designed for full position and attitude control of a quadrotor UAV. The aim of this study is to design a controller suitable for practical implementation on an autonomous quadrotor for remote sensing in hostile nuclear environments. A nested DTSMC is developed and compared against two continuous-time sliding mode control methods; classical SMC, as well as a chattering-free SMC (CFSMC), studied in the previous works. The performance of the controllers is evaluated in combination with the Hector SLAM algorithm for localisation in GPS-denied environments. For this purpose, MATLAB in combination with the Robotic Operating System (ROS) is used to develop the controllers. Control signals are sent from MATLAB to the Gazebo simulation environment in ROS, which simulates the quadrotor and runs the Hector SLAM algorithm.

AB - In this paper, a discrete-time sliding mode controller (DTSMC) is designed for full position and attitude control of a quadrotor UAV. The aim of this study is to design a controller suitable for practical implementation on an autonomous quadrotor for remote sensing in hostile nuclear environments. A nested DTSMC is developed and compared against two continuous-time sliding mode control methods; classical SMC, as well as a chattering-free SMC (CFSMC), studied in the previous works. The performance of the controllers is evaluated in combination with the Hector SLAM algorithm for localisation in GPS-denied environments. For this purpose, MATLAB in combination with the Robotic Operating System (ROS) is used to develop the controllers. Control signals are sent from MATLAB to the Gazebo simulation environment in ROS, which simulates the quadrotor and runs the Hector SLAM algorithm.

KW - Sliding mode control

KW - Quadrotor control

KW - Nonlinear discrete-time control

KW - Hector SLAM

KW - Trajectory tracking

U2 - 10.1016/j.ifacol.2022.10.110

DO - 10.1016/j.ifacol.2022.10.110

M3 - Journal article

VL - 55

SP - 2653

EP - 2658

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

SN - 2405-8963

IS - 10

T2 - 10th IFAC Conference on Manufacturing Modelling, Management and Control

Y2 - 22 June 2022 through 24 June 2022

ER -