Robust Backstepping Sliding Mode Control for a Morphing Quadcopter UAV
Recently, morphing quadcopters have gained an unprecedented popularity due to their nature of flexibility, self-controlled arm management and diversified application. It has been established that in morphing quadcopter control, aerial morphing generally introduces time-varying parameters into the dynamic model, thereby increasing the complexity of the control problem, in addition to the non-linearity, coupling dynamics, and external disturbances present in the model. Thus, to address those challenges, this research aimed at developing a robust backstepping sliding mode controller (BSMC) for morphing quadcopter position and orientation control. to achieve the stated aim, mathematical model of an active morphing quadcopter (a foldable drone) was presented considering five morphing formations (X, H, T, O, and Y). Following the development of the system model, the proposed control method was designed in two stages: a high-performance sliding mode controller (HSMC) for attitude control to ensure chattering-free and fast convergence of the orientation angles and a backstepping controller for position control. The robustness and effectiveness of the proposed controller were investigated and benchmarked against a backstepping control approach. The simulation results obtained show the effectiveness of the developed controller against the backstepping approach in the presence of parameter variations and external disturbances.
Authors
- Norhaliza Abdul Wahab (ORCID: https://orcid.org/0000-0001-8522-2507)
- Zaharuddeen Haruna (ORCID: https://orcid.org/0000-0002-1138-4850)
- Muhammed Bashir Mu’azu (ORCID: https://orcid.org/0000-0003-2003-4761)
- Muhammad Bashir Abdurrazaq
- Abubakar Umar (ORCID: https://orcid.org/0000-0003-2304-2871)
- Ibrahim Abdullahi Shehu
Institutions
- Ahmadu Bello University (NG)
- University of Technology Malaysia (MY)
Publication Details
- Published
- 2025-06-24
- DOI
- https://doi.org/10.3390/engproc2025087086
- Citations
- 1
- Primary Topic
- Adaptive Control of Nonlinear Systems
- Type
- article
- Field-Weighted Citation Impact
- 1.21