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Model predictive control based reference point tracking of quad-rotor UAV in prevalence of disturbance

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Main Authors: Muhammad Hassan, Tanveer, Hazry, Desa, Assoc. Prof. Dr., Syed Faiz, Ahmed, Dr., Muhammad Kamran, Joyo, Faizan, A Warsi, Zuradzman, Mohamad Razlan, Dr., Abadal-Salam, T. Hussain
Other Authors: hassantanveer@live.com
Format: Article
Language:English
Published: American-Eurasian Network for Scientific Information (AENSI) 2014
Subjects:
Quad-rotor UAV
Reference point tracking
Model predictive control
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/35486
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spelling my.unimap-354862017-11-29T05:05:34Z Model predictive control based reference point tracking of quad-rotor UAV in prevalence of disturbance Muhammad Hassan, Tanveer Hazry, Desa, Assoc. Prof. Dr. Syed Faiz, Ahmed, Dr. Muhammad Kamran, Joyo Faizan, A Warsi Zuradzman, Mohamad Razlan, Dr. Abadal-Salam, T. Hussain hassantanveer@live.com hazry@unimap.edu.my syedfaiz@unimap.edu.my sky_kamran12@hotmail.com f_warsi128@hotmail.com zuradzman@unimap.edu.my Quad-rotor UAV Reference point tracking Model predictive control Link to publisher's homepage at http://www.aensiweb.com/ This paper presents an accomplishment of reference point tracking with the help of Model predictive control (MPC). The foremost concern is based upon predicting the performance of the system in occurrence of unknown disturbances and also reveals the effectiveness for the disturbance problem on Quad-rotor type Unamnned Aerial Vehicles (UAV), while tracking to its reference point. MPC performance and its effectiveness are verified through simulations on MATLAB. 2014-06-13T17:38:56Z 2014-06-13T17:38:56Z 2014 Article Australian Journal of Basic and Applied Sciences, vol. 8(4) Special, 2014, pages 428-431 1991-8178 http://www.ajbasweb.com/old/2-ajbas_Special_2014.html http://dspace.unimap.edu.my:80/dspace/handle/123456789/35486 en American-Eurasian Network for Scientific Information (AENSI)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Quad-rotor UAV
Reference point tracking
Model predictive control
spellingShingle Quad-rotor UAV
Reference point tracking
Model predictive control
Muhammad Hassan, Tanveer
Hazry, Desa, Assoc. Prof. Dr.
Syed Faiz, Ahmed, Dr.
Muhammad Kamran, Joyo
Faizan, A Warsi
Zuradzman, Mohamad Razlan, Dr.
Abadal-Salam, T. Hussain
Model predictive control based reference point tracking of quad-rotor UAV in prevalence of disturbance
description Link to publisher's homepage at http://www.aensiweb.com/
author2 hassantanveer@live.com
author_facet hassantanveer@live.com
Muhammad Hassan, Tanveer
Hazry, Desa, Assoc. Prof. Dr.
Syed Faiz, Ahmed, Dr.
Muhammad Kamran, Joyo
Faizan, A Warsi
Zuradzman, Mohamad Razlan, Dr.
Abadal-Salam, T. Hussain
format Article
author Muhammad Hassan, Tanveer
Hazry, Desa, Assoc. Prof. Dr.
Syed Faiz, Ahmed, Dr.
Muhammad Kamran, Joyo
Faizan, A Warsi
Zuradzman, Mohamad Razlan, Dr.
Abadal-Salam, T. Hussain
author_sort Muhammad Hassan, Tanveer
title Model predictive control based reference point tracking of quad-rotor UAV in prevalence of disturbance
title_short Model predictive control based reference point tracking of quad-rotor UAV in prevalence of disturbance
title_full Model predictive control based reference point tracking of quad-rotor UAV in prevalence of disturbance
title_fullStr Model predictive control based reference point tracking of quad-rotor UAV in prevalence of disturbance
title_full_unstemmed Model predictive control based reference point tracking of quad-rotor UAV in prevalence of disturbance
title_sort model predictive control based reference point tracking of quad-rotor uav in prevalence of disturbance
publisher American-Eurasian Network for Scientific Information (AENSI)
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/35486
_version_ 1643802761201975296
score 13.222552

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