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...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
2023
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/108407/ http://dx.doi.org/10.1007/978-3-031-20429-6_24 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| 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 |
13.223943 |