Abstract
Quadrotor Unmanned Aerial Vehicles Slung Load (QUAVL) systems are affected by the load's unstable oscillation thereby degrading the whole system's performance during flight. As a result, the ease of navigating a QUAVL system in a cluttered environment may be hindered by the load swings which can potentially derail the system from its intended trajectory and cause damages to man and the environment. Furthermore, the accuracy of load placement may also become a bottleneck. Therefore, the adoption of a stabilising controller, an obstacle avoidance strategy and swing suppression is necessary. This work proposes a Nonlinear Backstepping Finite-time Sliding Mode Control (BFTSMC) of an under-actuated (QUAVL) with swing suppression. The controller design is based on Lyapunov stability stand point whereby the effect of load swing is mitigated with an anti-swing control through delayed feedback. Simulation results are used to validate the controller design.
Original language | English |
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Title of host publication | ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems |
Subtitle of host publication | Technosapiens for Saving Humanity |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9798350326499 |
DOIs | |
State | Published - 2023 |
Event | 30th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2023 - Istanbul, Turkey Duration: 4 Dec 2023 → 7 Dec 2023 |
Publication series
Name | ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity |
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Conference
Conference | 30th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2023 |
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Country/Territory | Turkey |
City | Istanbul |
Period | 4/12/23 → 7/12/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- Backstepping and Sliding Mode Control
- Intelligent Transportation Systems
- Nonlinear Systems
- Obstacle Avoidance
- Smart Cities
- Unmanned Aerial Vehicles
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Information Systems
- Biomedical Engineering
- Electrical and Electronic Engineering
- Instrumentation
- Artificial Intelligence