Staff View: Cascade model predictive control for enhancing UAV quadcopter stability and energy efficiency in wind turbulent mangrove forest environment.

Cascade model predictive control for enhancing UAV quadcopter stability and energy efficiency in wind turbulent mangrove forest environment.

Unmanned aerial vehicle (UAV) modelling and control, particularly in quadrotors with high position-orientation coupling, present significant challenges for practical applications, such as environmental monitoring missions in windy mangrove forests. Conventional control strategies like the PID cont...

Full description

Saved in:

Bibliographic Details
Main Authors:	Mustapha Amine, Sadi, Annisa, Jamali, Abang Mohammad Nizam, Abang Kamaruddin, Vivien Yeo, Shu Jun
Format:	Article
Language:	English
Published:	Elsevier Ltd 2024
Subjects:	TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery
Online Access:	http://ir.unimas.my/id/eprint/46966/3/Cascade%20model%20predictive%20control%20-%20Copy.pdf http://ir.unimas.my/id/eprint/46966/ https://www.sciencedirect.com/science/article/pii/S2772671124004169 https://doi.org/10.1016/j.prime.2024.100836
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.unimas.ir-46966
record_format	eprints
spelling	my.unimas.ir-469662024-12-20T00:22:41Z http://ir.unimas.my/id/eprint/46966/ Cascade model predictive control for enhancing UAV quadcopter stability and energy efficiency in wind turbulent mangrove forest environment. Mustapha Amine, Sadi Annisa, Jamali Abang Mohammad Nizam, Abang Kamaruddin Vivien Yeo, Shu Jun TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery Unmanned aerial vehicle (UAV) modelling and control, particularly in quadrotors with high position-orientation coupling, present significant challenges for practical applications, such as environmental monitoring missions in windy mangrove forests. Conventional control strategies like the PID controller, often employed in simulations due to their simplicity, often underperform in real-world scenarios due to their linear assumptions. This research proposes a novel hierarchical cascaded model predictive control system for altitude, attitude, and battery efficiency for quadrotor in mangrove area. This control system addresses computational complexity by decomposing the overall MPC strategy into two distinct schemes, one for translational displacements and another for rotational movements, enhancing the UAV’s resilience to wind turbulence, a significant disturbance factor in mangrove environments. Rigorous simulation and experiment test flight involving complex trajectory tracking and windy conditions demonstrate the proposed controller’s superior performance compared to conventional PID controller, particularly in terms of stability, disturbance rejection, underscoring its potential for UAV applications in challenging environments. Elsevier Ltd 2024-11-07 Article PeerReviewed text en http://ir.unimas.my/id/eprint/46966/3/Cascade%20model%20predictive%20control%20-%20Copy.pdf Mustapha Amine, Sadi and Annisa, Jamali and Abang Mohammad Nizam, Abang Kamaruddin and Vivien Yeo, Shu Jun (2024) Cascade model predictive control for enhancing UAV quadcopter stability and energy efficiency in wind turbulent mangrove forest environment. e-Prime - Advances in Electrical Engineering, Electronics and Energy, 10 (100836). pp. 1-19. ISSN 2772-6711 https://www.sciencedirect.com/science/article/pii/S2772671124004169 https://doi.org/10.1016/j.prime.2024.100836
institution	Universiti Malaysia Sarawak
building	Centre for Academic Information Services (CAIS)
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Sarawak
content_source	UNIMAS Institutional Repository
url_provider	http://ir.unimas.my/
language	English
topic	TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery
spellingShingle	TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery Mustapha Amine, Sadi Annisa, Jamali Abang Mohammad Nizam, Abang Kamaruddin Vivien Yeo, Shu Jun Cascade model predictive control for enhancing UAV quadcopter stability and energy efficiency in wind turbulent mangrove forest environment.
description	Unmanned aerial vehicle (UAV) modelling and control, particularly in quadrotors with high position-orientation coupling, present significant challenges for practical applications, such as environmental monitoring missions in windy mangrove forests. Conventional control strategies like the PID controller, often employed in simulations due to their simplicity, often underperform in real-world scenarios due to their linear assumptions. This research proposes a novel hierarchical cascaded model predictive control system for altitude, attitude, and battery efficiency for quadrotor in mangrove area. This control system addresses computational complexity by decomposing the overall MPC strategy into two distinct schemes, one for translational displacements and another for rotational movements, enhancing the UAV’s resilience to wind turbulence, a significant disturbance factor in mangrove environments. Rigorous simulation and experiment test flight involving complex trajectory tracking and windy conditions demonstrate the proposed controller’s superior performance compared to conventional PID controller, particularly in terms of stability, disturbance rejection, underscoring its potential for UAV applications in challenging environments.
format	Article
author	Mustapha Amine, Sadi Annisa, Jamali Abang Mohammad Nizam, Abang Kamaruddin Vivien Yeo, Shu Jun
author_facet	Mustapha Amine, Sadi Annisa, Jamali Abang Mohammad Nizam, Abang Kamaruddin Vivien Yeo, Shu Jun
author_sort	Mustapha Amine, Sadi
title	Cascade model predictive control for enhancing UAV quadcopter stability and energy efficiency in wind turbulent mangrove forest environment.
title_short	Cascade model predictive control for enhancing UAV quadcopter stability and energy efficiency in wind turbulent mangrove forest environment.
title_full	Cascade model predictive control for enhancing UAV quadcopter stability and energy efficiency in wind turbulent mangrove forest environment.
title_fullStr	Cascade model predictive control for enhancing UAV quadcopter stability and energy efficiency in wind turbulent mangrove forest environment.
title_full_unstemmed	Cascade model predictive control for enhancing UAV quadcopter stability and energy efficiency in wind turbulent mangrove forest environment.
title_sort	cascade model predictive control for enhancing uav quadcopter stability and energy efficiency in wind turbulent mangrove forest environment.
publisher	Elsevier Ltd
publishDate	2024
url	http://ir.unimas.my/id/eprint/46966/3/Cascade%20model%20predictive%20control%20-%20Copy.pdf http://ir.unimas.my/id/eprint/46966/ https://www.sciencedirect.com/science/article/pii/S2772671124004169 https://doi.org/10.1016/j.prime.2024.100836
_version_	1819914973813407744
score	13.223943

Cascade model predictive control for enhancing UAV quadcopter stability and energy efficiency in wind turbulent mangrove forest environment.

Similar Items