Digital robust nonlinear controller for position and attitude stabilization of an autonomous quadrotor unmanned aerial vehicle

Unmanned aerial vehicles, which are aircraft without human pilots or passengers on board, expanded to many applications as digital control technologies improved and costs fell. However, the highly nonlinear dynamics in these systems cause traditional methods to be inadequate, so the importance of nonlinear control methods for these systems has increased. This study focuses on nonlinear stabilizing control of an autonomous quadrotor UAV based on an approximate dynamical model. Position and attitude digital controllers are designed using a backstepping controller with integral action directly in the discrete-time domain. Firstly, the discretized dynamics of the quadrotor are introduced. Due to the underactuated structure of autonomous quadrotor UAVs, the digital controllers are designed to track the altitude positions and yaw angle of the quadrotor to their reference trajectories, while also stabilizing the pitch and roll angles. In the design procedure, position controllers automatically generate the desired trajectories of pitch and roll angles. Robustness against parametric deviations, unmodeled dynamics, and external disturbances is achieved with integral action, thus ensuring an offset-less steady-state response. The asymptotic stability of the closed-loop system under the proposed controllers is demonstrated according to Lyapunov theory. Detailed simulation results, along with comparative studies, are presented to illustrate the effectiveness and feasibility of the proposed controller.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering
Published
2025-03-18
DOI
https://doi.org/10.1177/09544100251327722
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Digital robust nonlinear controller for position and attitude stabilization of an autonomous quadrotor unmanned aerial vehicle

Fatih Adıgüzel, Tarık Veli Mumcu
Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering
Adaptive Control of Nonlinear Systems
article

Digital robust nonlinear controller for position and attitude stabilization of an autonomous quadrotor unmanned aerial vehicle

Fatih Adıgüzel, Tarık Veli Mumcu
article en

Abstract

Unmanned aerial vehicles, which are aircraft without human pilots or passengers on board, expanded to many applications as digital control technologies improved and costs fell. However, the highly nonlinear dynamics in these systems cause traditional methods to be inadequate, so the importance of nonlinear control methods for these systems has increased. This study focuses on nonlinear stabilizing control of an autonomous quadrotor UAV based on an approximate dynamical model. Position and attitude digital controllers are designed using a backstepping controller with integral action directly in the discrete-time domain. Firstly, the discretized dynamics of the quadrotor are introduced. Due to the underactuated structure of autonomous quadrotor UAVs, the digital controllers are designed to track the altitude positions and yaw angle of the quadrotor to their reference trajectories, while also stabilizing the pitch and roll angles. In the design procedure, position controllers automatically generate the desired trajectories of pitch and roll angles. Robustness against parametric deviations, unmodeled dynamics, and external disturbances is achieved with integral action, thus ensuring an offset-less steady-state response. The asymptotic stability of the closed-loop system under the proposed controllers is demonstrated according to Lyapunov theory. Detailed simulation results, along with comparative studies, are presented to illustrate the effectiveness and feasibility of the proposed controller.

Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace EngineeringVol. 239(11)
Yıldız Technical University (TR), Istanbul University-Cerrahpaşa (TR)
Openalex Percentile: Top 95%
Adaptive Control of Nonlinear Systems
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