An intelligent adaptive fractional-order backstepping control under unknown external disturbances and parameter uncertainties for quadrotor is developed. The developed approach named FCN-FOBC combines fractional-order backstepping control (FOBC) and fuzzy-Chebyshev network (FCN). Initially, the overall control and system tracking are performed using backstepping control (BC). FOBC is designed to advance the convergence speed and control reliability. Second, the FCN is set up to approximate the uncertainties, and  a robust term is considered to overcome the problem of FCN approximation errors. Finally, using the Lyapunov theory, the stability of control system is confirmed. The numerical results confirm that the proposed controller has better tracking accuracy and stronger robustness compared to conventional approaches.

quadrotor, fractional-order, backstepping, fuzzy-Chebyshev network.

Received: March 27, 2022; Accepted: May 28, 2022; Published: June 14, 2022

How to cite this article: Lemya Guettal, Chellihi Abdelghani, Mostefa Mohamed Touba and Riadh Ajgou, Intelligent adaptive fractional-order backstepping control for uncertain non-linear quadrotor, Advances in Differential Equations and Control Processes 28 (2022), 99-117. http://dx.doi.org/10.17654/0974324322026

This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License

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