Model reference adaptive control and LQR control for quadrotor with parametric uncertainties

A model reference adaptive control and a fixed gain LQR control were implemented in the height controller of a quadrotor that has parametric uncertainties due to the act of picking up an object of unknown dimension and mass. It is shown that an adaptive controller, unlike the fixed gain controller,...

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Main Authors: Abdul Ghaffar, Alia Farhana, Richardson, Tom
Format: Article
Language:English
Published: World Academy of Science, Engineering and Technology 2015
Subjects:
Online Access:http://irep.iium.edu.my/69541/
http://irep.iium.edu.my/69541/1/8c5239f5bdff1e63d09513d59bdbb24ebfe0.pdf
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author Abdul Ghaffar, Alia Farhana
Richardson, Tom
author_facet Abdul Ghaffar, Alia Farhana
Richardson, Tom
author_sort Abdul Ghaffar, Alia Farhana
building IIUM Repository
collection Online Access
description A model reference adaptive control and a fixed gain LQR control were implemented in the height controller of a quadrotor that has parametric uncertainties due to the act of picking up an object of unknown dimension and mass. It is shown that an adaptive controller, unlike the fixed gain controller, is capable of ensuring a stable tracking performance under such condition, although adaptive control suffers from several limitation. The combination of both adaptive and fixed gain control in the controller architecture can result in an enhanced tracking performance in the presence of parametric uncertainties.
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spelling iium-695412019-04-03T07:27:06Z http://irep.iium.edu.my/69541/ Model reference adaptive control and LQR control for quadrotor with parametric uncertainties Abdul Ghaffar, Alia Farhana Richardson, Tom T Technology (General) TJ212 Control engineering A model reference adaptive control and a fixed gain LQR control were implemented in the height controller of a quadrotor that has parametric uncertainties due to the act of picking up an object of unknown dimension and mass. It is shown that an adaptive controller, unlike the fixed gain controller, is capable of ensuring a stable tracking performance under such condition, although adaptive control suffers from several limitation. The combination of both adaptive and fixed gain control in the controller architecture can result in an enhanced tracking performance in the presence of parametric uncertainties. World Academy of Science, Engineering and Technology 2015-02 Article PeerReviewed application/pdf en http://irep.iium.edu.my/69541/1/8c5239f5bdff1e63d09513d59bdbb24ebfe0.pdf Abdul Ghaffar, Alia Farhana and Richardson, Tom (2015) Model reference adaptive control and LQR control for quadrotor with parametric uncertainties. International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, 9 (2). pp. 244-250. ISSN 1307-6892 https://waset.org/publications/10000466/model-reference-adaptive-control-and-lqr-control-for-quadrotor-with-parametric-uncertainties
spellingShingle T Technology (General)
TJ212 Control engineering
Abdul Ghaffar, Alia Farhana
Richardson, Tom
Model reference adaptive control and LQR control for quadrotor with parametric uncertainties
title Model reference adaptive control and LQR control for quadrotor with parametric uncertainties
title_full Model reference adaptive control and LQR control for quadrotor with parametric uncertainties
title_fullStr Model reference adaptive control and LQR control for quadrotor with parametric uncertainties
title_full_unstemmed Model reference adaptive control and LQR control for quadrotor with parametric uncertainties
title_short Model reference adaptive control and LQR control for quadrotor with parametric uncertainties
title_sort model reference adaptive control and lqr control for quadrotor with parametric uncertainties
topic T Technology (General)
TJ212 Control engineering
url http://irep.iium.edu.my/69541/
http://irep.iium.edu.my/69541/
http://irep.iium.edu.my/69541/1/8c5239f5bdff1e63d09513d59bdbb24ebfe0.pdf