GSA-based optimal backstepping controller with a fuzzy compensator for robust control of an autonomous quadrotor UAV

Purpose-The purpose of this paper is to propose a new approach for robust control of an autonomous quadrotor unmanned aerial vehicle (UAV) in automatic take-off, hovering and landing mission and also to improve the stabilizing performance of the quadrotor with inherent time-varying disturbance. Desi...

Full description

Bibliographic Details
Main Authors: Mohd. Basri, Mohd. Ariffanan, Husain, Abdul Rashid, Danapalasingam, Kumeresan A.
Format: Article
Published: Emerald Group Publishing 2015
Subjects:
_version_ 1796860171810504704
author Mohd. Basri, Mohd. Ariffanan
Husain, Abdul Rashid
Danapalasingam, Kumeresan A.
author_facet Mohd. Basri, Mohd. Ariffanan
Husain, Abdul Rashid
Danapalasingam, Kumeresan A.
author_sort Mohd. Basri, Mohd. Ariffanan
collection ePrints
description Purpose-The purpose of this paper is to propose a new approach for robust control of an autonomous quadrotor unmanned aerial vehicle (UAV) in automatic take-off, hovering and landing mission and also to improve the stabilizing performance of the quadrotor with inherent time-varying disturbance. Design/methodology/approach-First, the dynamic model of the aerial vehicle is mathematically formulated. Then, a combination of a nonlinear backstepping scheme with the intelligent fuzzy system as a new key idea to generate a robust controller is designed for the stabilization and altitude tracking of the vehicle. For the problem of determining the backstepping control parameters, a new heuristic algorithm, namely, Gravitational Search Algorithm has been used. Findings-The control law design utilizes the backstepping control methodology that uses Lyapunov function which can guarantee the stability of the nominal model system, whereas the intelligent system is used as a compensator to attenuate the effects caused by external disturbances. Simulation results demonstrate that the proposed control scheme can achieve favorable control performances for automatic take-off, hovering and landing mission of quadrotor UAV even in the presence of unknown perturbations. Originality/value-This paper propose a new robust control design approach which incorporates the backstepping control with fuzzy system for quadrotor UAV with inherent time-varying disturbance. The originality of this work relies on the technique to compensate the disturbances acting on the quadrotor UAV. In this new approach, the fuzzy system is introduced as an auxiliary control effort to compensate the effect of disturbances. Because the proposed control technique has the capability of robustness against disturbance, thus, it is also suitable to be applied for a broad class of uncertain nonlinear systems
first_indexed 2024-03-05T19:37:58Z
format Article
id utm.eprints-55538
institution Universiti Teknologi Malaysia - ePrints
last_indexed 2024-03-05T19:37:58Z
publishDate 2015
publisher Emerald Group Publishing
record_format dspace
spelling utm.eprints-555382017-02-15T04:42:04Z http://eprints.utm.my/55538/ GSA-based optimal backstepping controller with a fuzzy compensator for robust control of an autonomous quadrotor UAV Mohd. Basri, Mohd. Ariffanan Husain, Abdul Rashid Danapalasingam, Kumeresan A. TK Electrical engineering. Electronics Nuclear engineering Purpose-The purpose of this paper is to propose a new approach for robust control of an autonomous quadrotor unmanned aerial vehicle (UAV) in automatic take-off, hovering and landing mission and also to improve the stabilizing performance of the quadrotor with inherent time-varying disturbance. Design/methodology/approach-First, the dynamic model of the aerial vehicle is mathematically formulated. Then, a combination of a nonlinear backstepping scheme with the intelligent fuzzy system as a new key idea to generate a robust controller is designed for the stabilization and altitude tracking of the vehicle. For the problem of determining the backstepping control parameters, a new heuristic algorithm, namely, Gravitational Search Algorithm has been used. Findings-The control law design utilizes the backstepping control methodology that uses Lyapunov function which can guarantee the stability of the nominal model system, whereas the intelligent system is used as a compensator to attenuate the effects caused by external disturbances. Simulation results demonstrate that the proposed control scheme can achieve favorable control performances for automatic take-off, hovering and landing mission of quadrotor UAV even in the presence of unknown perturbations. Originality/value-This paper propose a new robust control design approach which incorporates the backstepping control with fuzzy system for quadrotor UAV with inherent time-varying disturbance. The originality of this work relies on the technique to compensate the disturbances acting on the quadrotor UAV. In this new approach, the fuzzy system is introduced as an auxiliary control effort to compensate the effect of disturbances. Because the proposed control technique has the capability of robustness against disturbance, thus, it is also suitable to be applied for a broad class of uncertain nonlinear systems Emerald Group Publishing 2015-09 Article PeerReviewed Mohd. Basri, Mohd. Ariffanan and Husain, Abdul Rashid and Danapalasingam, Kumeresan A. (2015) GSA-based optimal backstepping controller with a fuzzy compensator for robust control of an autonomous quadrotor UAV. Aircraft Engineering and Aerospace Technology, 87 (5). pp. 493-505. ISSN 0002-2667 http://dx.doi.org/10.1108/AEAT-11-2013-0194 DOI:10.1108/AEAT-11-2013-0194
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mohd. Basri, Mohd. Ariffanan
Husain, Abdul Rashid
Danapalasingam, Kumeresan A.
GSA-based optimal backstepping controller with a fuzzy compensator for robust control of an autonomous quadrotor UAV
title GSA-based optimal backstepping controller with a fuzzy compensator for robust control of an autonomous quadrotor UAV
title_full GSA-based optimal backstepping controller with a fuzzy compensator for robust control of an autonomous quadrotor UAV
title_fullStr GSA-based optimal backstepping controller with a fuzzy compensator for robust control of an autonomous quadrotor UAV
title_full_unstemmed GSA-based optimal backstepping controller with a fuzzy compensator for robust control of an autonomous quadrotor UAV
title_short GSA-based optimal backstepping controller with a fuzzy compensator for robust control of an autonomous quadrotor UAV
title_sort gsa based optimal backstepping controller with a fuzzy compensator for robust control of an autonomous quadrotor uav
topic TK Electrical engineering. Electronics Nuclear engineering
work_keys_str_mv AT mohdbasrimohdariffanan gsabasedoptimalbacksteppingcontrollerwithafuzzycompensatorforrobustcontrolofanautonomousquadrotoruav
AT husainabdulrashid gsabasedoptimalbacksteppingcontrollerwithafuzzycompensatorforrobustcontrolofanautonomousquadrotoruav
AT danapalasingamkumeresana gsabasedoptimalbacksteppingcontrollerwithafuzzycompensatorforrobustcontrolofanautonomousquadrotoruav