Construction and Tracking of Quadcopter Spatial Motion Trajectories

The problem of reference trajectory tracking for spatial motion of a quadcopter as a rigid body is considered. The state feedback linearization approach is used for synthesis of stabilizing controls. Reference trajectories are constructed in terms of three Cartesian coordinates of the spatial motion of the quadcopter’s center of mass and its rotational motion along the yaw angle based on third-order polynomials depending on time, taking into account constraints on the coordinates, velocities and accelerations during the entire process of motion. The performance of the proposed control law is verified numerically and experimentally on the Parrot Mambo quadcopter model using the MATLAB/Simulink software.

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Publication Details

Journal
Journal of Computer and Systems Sciences International
Published
2025-04-01
DOI
https://doi.org/10.1134/s1064230725700200
Primary Topic
Control and Dynamics of Mobile Robots
Type
article
Field-Weighted Citation Impact
0.00
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article

Construction and Tracking of Quadcopter Spatial Motion Trajectories

Anastasia Khorosheva, A. E. Golubev, S. A. Vasenin
Journal of Computer and Systems Sciences International
Control and Dynamics of Mobile Robots
article

Construction and Tracking of Quadcopter Spatial Motion Trajectories

Anastasia Khorosheva, A. E. Golubev, S. A. Vasenin
article en

Abstract

The problem of reference trajectory tracking for spatial motion of a quadcopter as a rigid body is considered. The state feedback linearization approach is used for synthesis of stabilizing controls. Reference trajectories are constructed in terms of three Cartesian coordinates of the spatial motion of the quadcopter’s center of mass and its rotational motion along the yaw angle based on third-order polynomials depending on time, taking into account constraints on the coordinates, velocities and accelerations during the entire process of motion. The performance of the proposed control law is verified numerically and experimentally on the Parrot Mambo quadcopter model using the MATLAB/Simulink software.

Journal of Computer and Systems Sciences InternationalVol. 64(2)
Moscow Institute of Physics and Technology (RU), Bauman Moscow State Technical University (RU)
Openalex Percentile: Top 83%
Control and Dynamics of Mobile Robots
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