Adaptive Disturbance Rejection Control Design for Quadrotor UAV Based on High-Order Fully Actuated System Method

This paper proposes an adaptive disturbance rejection control design for quadrotors based on a high-order fully actuated (HOFA) system approach. To achieve the tracking of a preset reference trajectory under turbulence disturbances, the established 4-DOF quadrotor nonlinear systems is transformed into three HOFA subsystems using an improved HOFA method. An adaptive disturbance rejection controller is designed, and an augmented error model is constructed. The gradient descent method is used to obtain the corresponding adaptive law, which dynamically updates the parameters of the adaptive disturbance rejection controller. Simulations verify that, under the action of this controller, the quadrotor system exhibits good stability, disturbance suppression, and output asymptotic tracking capability.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10864566
Citations
2
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.66
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article

Adaptive Disturbance Rejection Control Design for Quadrotor UAV Based on High-Order Fully Actuated System Method

Liyan Wen, Sirui Liu, Aize Li
2 citations
Adaptive Control of Nonlinear Systems
0.66
article

Adaptive Disturbance Rejection Control Design for Quadrotor UAV Based on High-Order Fully Actuated System Method

Liyan Wen, Sirui Liu, Aize Li
article en
2 citations

Abstract

This paper proposes an adaptive disturbance rejection control design for quadrotors based on a high-order fully actuated (HOFA) system approach. To achieve the tracking of a preset reference trajectory under turbulence disturbances, the established 4-DOF quadrotor nonlinear systems is transformed into three HOFA subsystems using an improved HOFA method. An adaptive disturbance rejection controller is designed, and an augmented error model is constructed. The gradient descent method is used to obtain the corresponding adaptive law, which dynamically updates the parameters of the adaptive disturbance rejection controller. Simulations verify that, under the action of this controller, the quadrotor system exhibits good stability, disturbance suppression, and output asymptotic tracking capability.

Nanjing University of Aeronautics and Astronautics (CN)
Affordable and clean energy
Openalex Percentile: Top 27%
Adaptive Control of Nonlinear Systems
0.66
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