Wind and Payload Disturbance Rejection Control Based on Adaptive Neural Estimators: Application on Quadrotors

In this work, a new intelligent control strategy based on neural networks is proposed to cope with some external disturbances that can affect quadrotor unmanned aerial vehicles (UAV) dynamics. Specifically, the variation of the system mass during logistic tasks and the influence of the wind are cons...

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Main Authors: Jesús Enrique Sierra, Matilde Santos
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2019/6460156
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author Jesús Enrique Sierra
Matilde Santos
author_facet Jesús Enrique Sierra
Matilde Santos
author_sort Jesús Enrique Sierra
collection DOAJ
description In this work, a new intelligent control strategy based on neural networks is proposed to cope with some external disturbances that can affect quadrotor unmanned aerial vehicles (UAV) dynamics. Specifically, the variation of the system mass during logistic tasks and the influence of the wind are considered. An adaptive neuromass estimator and an adaptive neural disturbance estimator complement the action of a set of PID controllers, stabilizing the UAV and improving the system performance. The control strategy has been extensively tested with different trajectories: linear, helical, circular, and even a lemniscate one. During the experiments, the mass of the UAV is triplicated and winds of 6 and 9 in Beaufort’s scale are introduced. Simulation results show how the online learning of the estimator increases the robustness of the controller, reducing the effects of the changes in the mass and of the wind on the quadrotor.
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institution Kabale University
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publisher Wiley
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spelling doaj-art-6d81f6a98cf94454a76b5aa6d0ff2e7b2025-02-03T05:44:27ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/64601566460156Wind and Payload Disturbance Rejection Control Based on Adaptive Neural Estimators: Application on QuadrotorsJesús Enrique Sierra0Matilde Santos1Computer Science Faculty, Complutense University of Madrid, 28040 Madrid, SpainComputer Science Faculty, Complutense University of Madrid, 28040 Madrid, SpainIn this work, a new intelligent control strategy based on neural networks is proposed to cope with some external disturbances that can affect quadrotor unmanned aerial vehicles (UAV) dynamics. Specifically, the variation of the system mass during logistic tasks and the influence of the wind are considered. An adaptive neuromass estimator and an adaptive neural disturbance estimator complement the action of a set of PID controllers, stabilizing the UAV and improving the system performance. The control strategy has been extensively tested with different trajectories: linear, helical, circular, and even a lemniscate one. During the experiments, the mass of the UAV is triplicated and winds of 6 and 9 in Beaufort’s scale are introduced. Simulation results show how the online learning of the estimator increases the robustness of the controller, reducing the effects of the changes in the mass and of the wind on the quadrotor.http://dx.doi.org/10.1155/2019/6460156
spellingShingle Jesús Enrique Sierra
Matilde Santos
Wind and Payload Disturbance Rejection Control Based on Adaptive Neural Estimators: Application on Quadrotors
Complexity
title Wind and Payload Disturbance Rejection Control Based on Adaptive Neural Estimators: Application on Quadrotors
title_full Wind and Payload Disturbance Rejection Control Based on Adaptive Neural Estimators: Application on Quadrotors
title_fullStr Wind and Payload Disturbance Rejection Control Based on Adaptive Neural Estimators: Application on Quadrotors
title_full_unstemmed Wind and Payload Disturbance Rejection Control Based on Adaptive Neural Estimators: Application on Quadrotors
title_short Wind and Payload Disturbance Rejection Control Based on Adaptive Neural Estimators: Application on Quadrotors
title_sort wind and payload disturbance rejection control based on adaptive neural estimators application on quadrotors
url http://dx.doi.org/10.1155/2019/6460156
work_keys_str_mv AT jesusenriquesierra windandpayloaddisturbancerejectioncontrolbasedonadaptiveneuralestimatorsapplicationonquadrotors
AT matildesantos windandpayloaddisturbancerejectioncontrolbasedonadaptiveneuralestimatorsapplicationonquadrotors