High-Gain Disturbance Observer for Robust Trajectory Tracking of Quadrotors

Fuente: arXiv
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Main Authors: Izadi, Mohammadreza, Faieghi, Reza
Format: Preprint
Published: 2023
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author Izadi, Mohammadreza
Faieghi, Reza
author_facet Izadi, Mohammadreza
Faieghi, Reza
contents This paper presents a simple method to boost the robustness of quadrotors in trajectory tracking. The presented method features a high-gain disturbance observer (HGDO) that provides disturbance estimates in real-time. The estimates are then used in a trajectory control law to compensate for disturbance effects. We present theoretical convergence results showing that the proposed HGDO can quickly converge to an adjustable neighborhood of actual disturbance values. We will then integrate the disturbance estimates with a typical robust trajectory controller, namely sliding mode control (SMC), and present Lyapunov stability analysis to establish the boundedness of trajectory tracking errors. However, our stability analysis can be easily extended to other Lyapunov-based controllers to develop different HGDO-based controllers with formal stability guarantees. We evaluate the proposed HGDO-based control method using both simulation and laboratory experiments in various scenarios and in the presence of external disturbances. Our results indicate that the addition of HGDO to a quadrotor trajectory controller can significantly improve the accuracy and precision of trajectory tracking in the presence of external disturbances.
format Preprint
id arxiv_https___arxiv_org_abs_2305_19115
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle High-Gain Disturbance Observer for Robust Trajectory Tracking of Quadrotors
Izadi, Mohammadreza
Faieghi, Reza
Robotics
This paper presents a simple method to boost the robustness of quadrotors in trajectory tracking. The presented method features a high-gain disturbance observer (HGDO) that provides disturbance estimates in real-time. The estimates are then used in a trajectory control law to compensate for disturbance effects. We present theoretical convergence results showing that the proposed HGDO can quickly converge to an adjustable neighborhood of actual disturbance values. We will then integrate the disturbance estimates with a typical robust trajectory controller, namely sliding mode control (SMC), and present Lyapunov stability analysis to establish the boundedness of trajectory tracking errors. However, our stability analysis can be easily extended to other Lyapunov-based controllers to develop different HGDO-based controllers with formal stability guarantees. We evaluate the proposed HGDO-based control method using both simulation and laboratory experiments in various scenarios and in the presence of external disturbances. Our results indicate that the addition of HGDO to a quadrotor trajectory controller can significantly improve the accuracy and precision of trajectory tracking in the presence of external disturbances.
title High-Gain Disturbance Observer for Robust Trajectory Tracking of Quadrotors
topic Robotics
url https://arxiv.org/abs/2305.19115