Kara-Mohamed, Mohamed, Zhang, Qian, Yan, Xinggang (2023) Design and Control of an Innovative Overactuated Thrust Vectoring Six-DoF Quadrotor for Extreme and Challenging Environments. Unmanned Systems, . pp. 1-17. ISSN 2301-3869. (doi:10.1142/s2301385025500190) (KAR id:104386)
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Official URL: https://doi.org/10.1142/s2301385025500190 |
Abstract
The wide spectrum of recent applications for UAVs imposes further challenges to their abilities and control. This is especially true when operating in harsh and hostile environments where disturbances are huge and actuators are prone to failure. Conventional systems and traditional control techniques are not sufficient for stability and tracking under these circumstances. This paper proposes a unique innovative overactuated quadrotor system that has six DoFs. The vehicle has four rotors and each rotor can tilt independently in the [Formula: see text]-plane. It has the ability to correct its position and attitude in a decoupled way which is different from the conventional quadrotor configurations. Sliding-mode control associated with switching control mode is used for the control algorithm of the system. The system shows agility in the face of large disturbances and robustness against actuator failure which makes it a perfect fit for extreme and challenging environments. The concept of the system and its ability are illustrated in simulation with promising results.
Item Type: | Article |
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DOI/Identification number: | 10.1142/s2301385025500190 |
Uncontrolled keywords: | Control and Optimization, Aerospace Engineering, Automotive Engineering, Control and Systems Engineering |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Funders: | University of Kent (https://ror.org/00xkeyj56) |
SWORD Depositor: | JISC Publications Router |
Depositing User: | JISC Publications Router |
Date Deposited: | 06 Mar 2024 10:40 UTC |
Last Modified: | 05 Nov 2024 13:10 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/104386 (The current URI for this page, for reference purposes) |
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