Robust Backstepping Control Applied to UAVs for Pest Recognition in Maize Crops

In this paper, a robust control technique is developed to achieve the quadrotor stabilization against unmodeled matching vanishing dynamics. The synthesis of the proposed robust control is based on the Lyapunov approach and the backstepping method allowing to construct an iterative control algorithm...

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Main Authors: Liliam Rodríguez-Guerrero, Alejandro Benítez-Morales, Omar-Jacobo Santos-Sánchez, Orlando García-Pérez, Hugo Romero-Trejo, Mario-Oscar Ordaz-Oliver, Jesús-Patricio Ordaz-Oliver
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/18/9075
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author Liliam Rodríguez-Guerrero
Alejandro Benítez-Morales
Omar-Jacobo Santos-Sánchez
Orlando García-Pérez
Hugo Romero-Trejo
Mario-Oscar Ordaz-Oliver
Jesús-Patricio Ordaz-Oliver
author_facet Liliam Rodríguez-Guerrero
Alejandro Benítez-Morales
Omar-Jacobo Santos-Sánchez
Orlando García-Pérez
Hugo Romero-Trejo
Mario-Oscar Ordaz-Oliver
Jesús-Patricio Ordaz-Oliver
author_sort Liliam Rodríguez-Guerrero
collection DOAJ
description In this paper, a robust control technique is developed to achieve the quadrotor stabilization against unmodeled matching vanishing dynamics. The synthesis of the proposed robust control is based on the Lyapunov approach and the backstepping method allowing to construct an iterative control algorithm. To compare the performance of the proposed controller, a Proportional Derivative (PD) controller is used to obtain experimental results in an outdoor environment. To compare the closed-loop system responses with both controllers, the Integral Absolute Error is computed and several tests are conducted to calculate the error standard deviation. Ultimately, employing the robust backstepping control approach in pest recognition in maize crops, which is a specific task of precision agriculture, demonstrates its effectiveness in improving the trajectory tracking of the vehicle while it captures images of the crops.
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spelling doaj.art-e123ccd99bc7406796a7f12f3fdc8e0e2023-11-23T14:52:39ZengMDPI AGApplied Sciences2076-34172022-09-011218907510.3390/app12189075Robust Backstepping Control Applied to UAVs for Pest Recognition in Maize CropsLiliam Rodríguez-Guerrero0Alejandro Benítez-Morales1Omar-Jacobo Santos-Sánchez2Orlando García-Pérez3Hugo Romero-Trejo4Mario-Oscar Ordaz-Oliver5Jesús-Patricio Ordaz-Oliver6Electronic and Control Academic Group, Academic Area of Computation and Electronic, Autonomous University of Hidalgo State (UAEH), Pachuca de Soto 42084, MexicoElectronic and Control Academic Group, Academic Area of Computation and Electronic, Autonomous University of Hidalgo State (UAEH), Pachuca de Soto 42084, MexicoElectronic and Control Academic Group, Academic Area of Computation and Electronic, Autonomous University of Hidalgo State (UAEH), Pachuca de Soto 42084, MexicoElectronic and Control Academic Group, Academic Area of Computation and Electronic, Autonomous University of Hidalgo State (UAEH), Pachuca de Soto 42084, MexicoElectronic and Control Academic Group, Academic Area of Computation and Electronic, Autonomous University of Hidalgo State (UAEH), Pachuca de Soto 42084, MexicoElectronic and Control Academic Group, Academic Area of Computation and Electronic, Autonomous University of Hidalgo State (UAEH), Pachuca de Soto 42084, MexicoElectronic and Control Academic Group, Academic Area of Computation and Electronic, Autonomous University of Hidalgo State (UAEH), Pachuca de Soto 42084, MexicoIn this paper, a robust control technique is developed to achieve the quadrotor stabilization against unmodeled matching vanishing dynamics. The synthesis of the proposed robust control is based on the Lyapunov approach and the backstepping method allowing to construct an iterative control algorithm. To compare the performance of the proposed controller, a Proportional Derivative (PD) controller is used to obtain experimental results in an outdoor environment. To compare the closed-loop system responses with both controllers, the Integral Absolute Error is computed and several tests are conducted to calculate the error standard deviation. Ultimately, employing the robust backstepping control approach in pest recognition in maize crops, which is a specific task of precision agriculture, demonstrates its effectiveness in improving the trajectory tracking of the vehicle while it captures images of the crops.https://www.mdpi.com/2076-3417/12/18/9075outdoor environmentquadrotorrobust backstepping controlvanishing unstructured dynamicsprecision agriculture
spellingShingle Liliam Rodríguez-Guerrero
Alejandro Benítez-Morales
Omar-Jacobo Santos-Sánchez
Orlando García-Pérez
Hugo Romero-Trejo
Mario-Oscar Ordaz-Oliver
Jesús-Patricio Ordaz-Oliver
Robust Backstepping Control Applied to UAVs for Pest Recognition in Maize Crops
Applied Sciences
outdoor environment
quadrotor
robust backstepping control
vanishing unstructured dynamics
precision agriculture
title Robust Backstepping Control Applied to UAVs for Pest Recognition in Maize Crops
title_full Robust Backstepping Control Applied to UAVs for Pest Recognition in Maize Crops
title_fullStr Robust Backstepping Control Applied to UAVs for Pest Recognition in Maize Crops
title_full_unstemmed Robust Backstepping Control Applied to UAVs for Pest Recognition in Maize Crops
title_short Robust Backstepping Control Applied to UAVs for Pest Recognition in Maize Crops
title_sort robust backstepping control applied to uavs for pest recognition in maize crops
topic outdoor environment
quadrotor
robust backstepping control
vanishing unstructured dynamics
precision agriculture
url https://www.mdpi.com/2076-3417/12/18/9075
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AT omarjacobosantossanchez robustbacksteppingcontrolappliedtouavsforpestrecognitioninmaizecrops
AT orlandogarciaperez robustbacksteppingcontrolappliedtouavsforpestrecognitioninmaizecrops
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