Robust tracking control for a quadrotor subjected to disturbances using new hyperplane-based fast Terminal Sliding
Moussa Labbadi1, Jamshed Iqbal2, Mohamed Djemai1
1Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, Grenoble, France.
This study introduces a robust finite-time control strategy for quadrotors facing disturbances. The novel hyperplane-based sliding mode controller ensures accurate trajectory tracking with guaranteed performance.
Area of Science:
- Robotics
- Control Systems Engineering
- Aerospace Engineering
Background:
- Quadrotor systems are susceptible to external disturbances and model uncertainties, impacting their trajectory tracking capabilities.
- Existing control methods may not provide guaranteed performance or finite-time convergence under such conditions.
Purpose of the Study:
- To develop a finite-time tracking control scheme for quadrotors subjected to disturbances and uncertainties.
- To design a robust nonlinear sliding mode controller based on a novel hyperplane approach.
Main Methods:
- Utilizing integral terminal sliding manifolds and nonsingular terminal sliding manifolds to create hyperplane sliding variables.
- Designing a nonlinear sliding mode controller incorporating these hyperplane variables for position and attitude control.
- Employing Lyapunov theory to prove the finite-time stability and robustness of the proposed control technique.
Main Results:
- The proposed hyperplane-based sliding mode control strategy ensures finite-time convergence for quadrotor trajectory tracking.
- Numerical simulations demonstrated the accuracy and superior performance of the developed controller compared to another nonlinear controller.
- The control approach offers a preassigned performance guarantee even under external disturbances and model uncertainties.
Conclusions:
- The developed hyperplane-based nonlinear sliding mode control is effective for disturbed quadrotor systems.
- The finite-time stability and robustness are rigorously proven using Lyapunov theory.
- The proposed strategy significantly enhances quadrotor tracking performance in challenging environments.
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