Linear Algebra Based Tracking Control of a Drone

ABSTRACT In this paper, linear algebra based (LAB) control methodology is proposed as a feasible technique for tracking control of drones. The method introduces a straightforward mathematical procedure, which leads to a low computational cost implementation. A comprehensive analysis of LAB control applied to drone trajectory tracking, including detailed mathematical derivations, stability analysis, and practical implementation considerations is provided. Moreover, compared to one of the most popular non‐linear control techniques, that is, feedback linearization (FL), LAB is able to reach satisfactory tracking and energy saving even under the consideration of complex trajectories (with sudden changes). The paper addresses key implementation challenges including sampling period selection, control parameter tuning methodologies, and actuator saturation handling. Extensive simulation results demonstrate the effectiveness of the proposed approach and its advantages over traditional FL method.

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Publication Details

Journal
IET Control Theory and Applications
Published
2025-01-01
DOI
https://doi.org/10.1049/cth2.70074
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Linear Algebra Based Tracking Control of a Drone

Pedro Albertos, Cui Wei, Ángel Cuenca, Pablo del Rı́o
IET Control Theory and Applications
Adaptive Control of Nonlinear Systems
article

Linear Algebra Based Tracking Control of a Drone

Pedro Albertos, Cui Wei, Ángel Cuenca, Pablo del Rı́o
article en

Abstract

ABSTRACT In this paper, linear algebra based (LAB) control methodology is proposed as a feasible technique for tracking control of drones. The method introduces a straightforward mathematical procedure, which leads to a low computational cost implementation. A comprehensive analysis of LAB control applied to drone trajectory tracking, including detailed mathematical derivations, stability analysis, and practical implementation considerations is provided. Moreover, compared to one of the most popular non‐linear control techniques, that is, feedback linearization (FL), LAB is able to reach satisfactory tracking and energy saving even under the consideration of complex trajectories (with sudden changes). The paper addresses key implementation challenges including sampling period selection, control parameter tuning methodologies, and actuator saturation handling. Extensive simulation results demonstrate the effectiveness of the proposed approach and its advantages over traditional FL method.

IET Control Theory and ApplicationsVol. 19(1)
Nanjing Tech University (CN), Centro Tecnológico de Investigación, Desarrollo e Innovación en tecnologías de la Información y las Comunicaciones (TIC) (ES), Jiangsu Industry Technology Research Institute (CN), Universitat Politècnica de València (ES)
Ministry of Science and Technology of the People's Republic of China, Higher Education Discipline Innovation Project, European Regional Development Fund, Agencia Estatal de Investigación
Openalex Percentile: Top 69%
Adaptive Control of Nonlinear Systems
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Linear Algebra Based Tracking Control of a Drone — Pedro Albertos, Cui Wei, et al. · IET Control Theory and Applications (2025) | TGRS Research Map | TGRS