Backstepping Sliding Mode Control Algorithm for Unmanned Aerial Vehicles Based on Fractional-Order Theory
Aiming at the problems of slow convergence speed and low tracking accuracy in attitude control and position tracking of quadrotor unmanned aerial vehicles (UAVs). This paper combines the fractional-order calculus theory with the backstepping sliding mode control algorithm, using the backstepping con...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | Journal of Robotics |
| Online Access: | http://dx.doi.org/10.1155/2023/1388072 |
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| _version_ | 1832546694027280384 |
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| author | Yanzhu Zhang Bo Zhuang Chunhao Ma Cheng Zhang |
| author_facet | Yanzhu Zhang Bo Zhuang Chunhao Ma Cheng Zhang |
| author_sort | Yanzhu Zhang |
| collection | DOAJ |
| description | Aiming at the problems of slow convergence speed and low tracking accuracy in attitude control and position tracking of quadrotor unmanned aerial vehicles (UAVs). This paper combines the fractional-order calculus theory with the backstepping sliding mode control algorithm, using the backstepping control to compensate for the nonlinearity of the system and the fractional-order theory to eliminate the jitter brought about by the sliding mode control, and proposes a new fractional-order backstepping sliding mode control strategy for the trajectory tracking control of the quadrotor UAV. The proposed fractional-order sliding mode surface increases the control flexibility and improves the robustness and anti-interference ability of the system to some extent. The stability analysis of the system is carried out using the Lyapunov stability theory, and the results prove the stability of the proposed controller. Finally, the effectiveness and feasibility of the proposed method are verified by comparing it with the traditional backstepping sliding mode controller. The simulation results show that the fractional-order reverse-step sliding mode control algorithm proposed in this paper is significantly better than other control algorithms in terms of convergence speed and also has a certain degree of superiority in terms of error elimination. |
| format | Article |
| id | doaj-art-bd8ec99cb2dc4534adb2d469e6e67a0a |
| institution | Kabale University |
| issn | 1687-9619 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Robotics |
| spelling | doaj-art-bd8ec99cb2dc4534adb2d469e6e67a0a2025-02-03T06:47:35ZengWileyJournal of Robotics1687-96192023-01-01202310.1155/2023/1388072Backstepping Sliding Mode Control Algorithm for Unmanned Aerial Vehicles Based on Fractional-Order TheoryYanzhu Zhang0Bo Zhuang1Chunhao Ma2Cheng Zhang3School of Automation and ElectricalSchool of Automation and ElectricalSchool of Automation and ElectricalSchool of Automation and ElectricalAiming at the problems of slow convergence speed and low tracking accuracy in attitude control and position tracking of quadrotor unmanned aerial vehicles (UAVs). This paper combines the fractional-order calculus theory with the backstepping sliding mode control algorithm, using the backstepping control to compensate for the nonlinearity of the system and the fractional-order theory to eliminate the jitter brought about by the sliding mode control, and proposes a new fractional-order backstepping sliding mode control strategy for the trajectory tracking control of the quadrotor UAV. The proposed fractional-order sliding mode surface increases the control flexibility and improves the robustness and anti-interference ability of the system to some extent. The stability analysis of the system is carried out using the Lyapunov stability theory, and the results prove the stability of the proposed controller. Finally, the effectiveness and feasibility of the proposed method are verified by comparing it with the traditional backstepping sliding mode controller. The simulation results show that the fractional-order reverse-step sliding mode control algorithm proposed in this paper is significantly better than other control algorithms in terms of convergence speed and also has a certain degree of superiority in terms of error elimination.http://dx.doi.org/10.1155/2023/1388072 |
| spellingShingle | Yanzhu Zhang Bo Zhuang Chunhao Ma Cheng Zhang Backstepping Sliding Mode Control Algorithm for Unmanned Aerial Vehicles Based on Fractional-Order Theory Journal of Robotics |
| title | Backstepping Sliding Mode Control Algorithm for Unmanned Aerial Vehicles Based on Fractional-Order Theory |
| title_full | Backstepping Sliding Mode Control Algorithm for Unmanned Aerial Vehicles Based on Fractional-Order Theory |
| title_fullStr | Backstepping Sliding Mode Control Algorithm for Unmanned Aerial Vehicles Based on Fractional-Order Theory |
| title_full_unstemmed | Backstepping Sliding Mode Control Algorithm for Unmanned Aerial Vehicles Based on Fractional-Order Theory |
| title_short | Backstepping Sliding Mode Control Algorithm for Unmanned Aerial Vehicles Based on Fractional-Order Theory |
| title_sort | backstepping sliding mode control algorithm for unmanned aerial vehicles based on fractional order theory |
| url | http://dx.doi.org/10.1155/2023/1388072 |
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