Finite-Time Mass Estimation Using ℋ<sub>∞</sub> and Sliding Mode Control for a Multicopter

Nonlinear control theory applied to unmanned aeronautical vehicles is an engineering topic that has received higher and higher popularity during the last decade. Model-based control approaches have shown increased performance in flight control accuracy and robustness compared to model-free proposals...

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Main Authors: Carlos Augusto Arellano-Muro, Guillermo Luis Osuna-González, Riccardo Cespi
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/12/19/3100
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author Carlos Augusto Arellano-Muro
Guillermo Luis Osuna-González
Riccardo Cespi
author_facet Carlos Augusto Arellano-Muro
Guillermo Luis Osuna-González
Riccardo Cespi
author_sort Carlos Augusto Arellano-Muro
collection DOAJ
description Nonlinear control theory applied to unmanned aeronautical vehicles is an engineering topic that has received higher and higher popularity during the last decade. Model-based control approaches have shown increased performance in flight control accuracy and robustness compared to model-free proposals based on parameter adaptation and estimation. However, model-based structures need more computational efforts in terms of spatial and temporal variables. To avoid these constraints, the latest drone flight controls are based on quaternion models, ensuring more advanced computational performances. To this aim, this paper deals with a flight control algorithm of a quadrotor, in which the mathematics model of the plant is defined in terms of quaternions. Additionally, when aerial vehicles are used in specific applications such as slung load transportation and agriculture fields, among others, the variation of the mass receives high importance since it could make the entire system unstable. In the same line of ideas, this paper presents a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi mathvariant="script">H</mi><mo>∞</mo></msub></semantics></math></inline-formula> strategy, combined with a Super-Twisting Sliding-Mode Control, ensuring the control objective of the mass variations identification, and trajectory tracking, to be solved. The stability analysis of the proposed control approach is also discussed, and the quality and performances of the presented control strategy are tested by simulations, in an interesting case in which mass variations and external perturbations cannot be negligible.
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spelling doaj-art-599ab8baedf945b7b662eaef6027d0532025-08-20T02:16:54ZengMDPI AGMathematics2227-73902024-10-011219310010.3390/math12193100Finite-Time Mass Estimation Using ℋ<sub>∞</sub> and Sliding Mode Control for a MulticopterCarlos Augusto Arellano-Muro0Guillermo Luis Osuna-González1Riccardo Cespi2Industrial Engineering Department, CUCEI—Universidad de Guadalajara, Blvd. Gral. Marcelino García Barragán 1421, Col. Olímpica, Guadalajara 44430, MexicoFacultad de Ingeniería, Universidad Panamericana, Álvaro del Portillo 49, Zapopan 45010, MexicoSchool of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, MexicoNonlinear control theory applied to unmanned aeronautical vehicles is an engineering topic that has received higher and higher popularity during the last decade. Model-based control approaches have shown increased performance in flight control accuracy and robustness compared to model-free proposals based on parameter adaptation and estimation. However, model-based structures need more computational efforts in terms of spatial and temporal variables. To avoid these constraints, the latest drone flight controls are based on quaternion models, ensuring more advanced computational performances. To this aim, this paper deals with a flight control algorithm of a quadrotor, in which the mathematics model of the plant is defined in terms of quaternions. Additionally, when aerial vehicles are used in specific applications such as slung load transportation and agriculture fields, among others, the variation of the mass receives high importance since it could make the entire system unstable. In the same line of ideas, this paper presents a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi mathvariant="script">H</mi><mo>∞</mo></msub></semantics></math></inline-formula> strategy, combined with a Super-Twisting Sliding-Mode Control, ensuring the control objective of the mass variations identification, and trajectory tracking, to be solved. The stability analysis of the proposed control approach is also discussed, and the quality and performances of the presented control strategy are tested by simulations, in an interesting case in which mass variations and external perturbations cannot be negligible.https://www.mdpi.com/2227-7390/12/19/3100mass estimationrobust controlUAVℋ<sub>∞</sub> controlsliding mode
spellingShingle Carlos Augusto Arellano-Muro
Guillermo Luis Osuna-González
Riccardo Cespi
Finite-Time Mass Estimation Using ℋ<sub>∞</sub> and Sliding Mode Control for a Multicopter
Mathematics
mass estimation
robust control
UAV
ℋ<sub>∞</sub> control
sliding mode
title Finite-Time Mass Estimation Using ℋ<sub>∞</sub> and Sliding Mode Control for a Multicopter
title_full Finite-Time Mass Estimation Using ℋ<sub>∞</sub> and Sliding Mode Control for a Multicopter
title_fullStr Finite-Time Mass Estimation Using ℋ<sub>∞</sub> and Sliding Mode Control for a Multicopter
title_full_unstemmed Finite-Time Mass Estimation Using ℋ<sub>∞</sub> and Sliding Mode Control for a Multicopter
title_short Finite-Time Mass Estimation Using ℋ<sub>∞</sub> and Sliding Mode Control for a Multicopter
title_sort finite time mass estimation using h sub ∞ sub and sliding mode control for a multicopter
topic mass estimation
robust control
UAV
ℋ<sub>∞</sub> control
sliding mode
url https://www.mdpi.com/2227-7390/12/19/3100
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