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Hybrid fuzzy logic active force control for trajectory tracking of a quadrotor system

The quadrotor unmanned aerial vehicle (UAV) system is considered the most widespread machine these days. There are numerous uses for it in both civilian and military sectors. However, it faces challenges and impediments that degrade its performance and affect its path following such as external wind...

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Main Authors:	Abdelmaksoud, Sherif I., Mailah, Musa, Tang, H. Hing
格式:	Conference or Workshop Item
出版:	2023
主題:	TJ Mechanical engineering and machinery
在線閱讀:	http://eprints.utm.my/108407/ http://dx.doi.org/10.1007/978-3-031-20429-6_24
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id	my.utm.108407
record_format	eprints
spelling	my.utm.1084072024-12-11T09:22:29Z http://eprints.utm.my/108407/ Hybrid fuzzy logic active force control for trajectory tracking of a quadrotor system Abdelmaksoud, Sherif I. Mailah, Musa Tang, H. Hing TJ Mechanical engineering and machinery The quadrotor unmanned aerial vehicle (UAV) system is considered the most widespread machine these days. There are numerous uses for it in both civilian and military sectors. However, it faces challenges and impediments that degrade its performance and affect its path following such as external wind gusts. Besides it is an underactuated, nonlinear, and coupled dynamic model. This paper presents a hybrid control system based on an innovative approach called active force control (AFC). The proposed control structure merges the proportional-integral-derivative (PID) controller with the AFC approach adjusted intelligently by employing the fuzzy logic (FL) method. To test the feasibility of the suggested hybrid scheme, various types of external disturbances including the harmonic, pulsating, and Dryden wind gust model were applied. Results show the effectiveness of the proposed hybrid control scheme in expelling the applied disturbances while maintaining system stability and trajectory tracking. Findings indicate that the proposed strategy enhanced the performance of around 67, 91, and 50% for forward, sideward, and upward motions, respectively. Results show how effectively the suggested approach may implement for real-time applications. 2023 Conference or Workshop Item PeerReviewed Abdelmaksoud, Sherif I. and Mailah, Musa and Tang, H. Hing (2023) Hybrid fuzzy logic active force control for trajectory tracking of a quadrotor system. In: 2nd International Conference on Emerging Technologies and Intelligent Systems, ICETIS 2022, 2 September 2022 - 3 September 2022, Johor Bahru, Johor, Malaysia - Virtual, Online. http://dx.doi.org/10.1007/978-3-031-20429-6_24
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Abdelmaksoud, Sherif I. Mailah, Musa Tang, H. Hing Hybrid fuzzy logic active force control for trajectory tracking of a quadrotor system
description	The quadrotor unmanned aerial vehicle (UAV) system is considered the most widespread machine these days. There are numerous uses for it in both civilian and military sectors. However, it faces challenges and impediments that degrade its performance and affect its path following such as external wind gusts. Besides it is an underactuated, nonlinear, and coupled dynamic model. This paper presents a hybrid control system based on an innovative approach called active force control (AFC). The proposed control structure merges the proportional-integral-derivative (PID) controller with the AFC approach adjusted intelligently by employing the fuzzy logic (FL) method. To test the feasibility of the suggested hybrid scheme, various types of external disturbances including the harmonic, pulsating, and Dryden wind gust model were applied. Results show the effectiveness of the proposed hybrid control scheme in expelling the applied disturbances while maintaining system stability and trajectory tracking. Findings indicate that the proposed strategy enhanced the performance of around 67, 91, and 50% for forward, sideward, and upward motions, respectively. Results show how effectively the suggested approach may implement for real-time applications.
format	Conference or Workshop Item
author	Abdelmaksoud, Sherif I. Mailah, Musa Tang, H. Hing
author_facet	Abdelmaksoud, Sherif I. Mailah, Musa Tang, H. Hing
author_sort	Abdelmaksoud, Sherif I.
title	Hybrid fuzzy logic active force control for trajectory tracking of a quadrotor system
title_short	Hybrid fuzzy logic active force control for trajectory tracking of a quadrotor system
title_full	Hybrid fuzzy logic active force control for trajectory tracking of a quadrotor system
title_fullStr	Hybrid fuzzy logic active force control for trajectory tracking of a quadrotor system
title_full_unstemmed	Hybrid fuzzy logic active force control for trajectory tracking of a quadrotor system
title_sort	hybrid fuzzy logic active force control for trajectory tracking of a quadrotor system
publishDate	2023
url	http://eprints.utm.my/108407/ http://dx.doi.org/10.1007/978-3-031-20429-6_24
_version_	1818834042177454080
score	13.251813

Hybrid fuzzy logic active force control for trajectory tracking of a quadrotor system

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