Aerial photography trajectory-tracking controller design for quadrotor UAV

Quad-rotor unmanned aerial vehicles (UAV) are prone to external interference during aerial photography of farmland environments. For example, they are affected by external airflow and load, resulting in route deviation and irregular image overlap, which seriously affects image quality. An aerial tra...

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Main Authors: Min Xiao, Jing Liang, Li Ji, Zheng Sun, ZeYu Li
Format: Article
Language:English
Published: SAGE Publishing 2022-07-01
Series:Measurement + Control
Online Access:https://doi.org/10.1177/00202940221115634
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author Min Xiao
Jing Liang
Li Ji
Zheng Sun
ZeYu Li
author_facet Min Xiao
Jing Liang
Li Ji
Zheng Sun
ZeYu Li
author_sort Min Xiao
collection DOAJ
description Quad-rotor unmanned aerial vehicles (UAV) are prone to external interference during aerial photography of farmland environments. For example, they are affected by external airflow and load, resulting in route deviation and irregular image overlap, which seriously affects image quality. An aerial trajectory tracking controller is designed for this aerial photography process. To ensure that a drone can fly according to the established route during the aerial photography process and meet the requirements of large-scale topographic map stereo mapping for the flight control accuracy of the drone platform, the system was divided into a full-drive subsystem and an underactuated subsystem. The full-drive subsystem uses a fast terminal sliding mode controller to ensure that the variable ( z , ψ ) reaches the desired value. The under-actuated subsystem adopts the second-order sliding mode control was used to achieve effective position and attitude tracking of variables ( x , y , ϕ , θ ). The flight controllers are derived by using Lyapunov theory. Finally, with the aerial trajectory of a farmland taken as an example, the flight path control of the UAV is simulated. Simulation results show that the designed control system can be applied to the aerial photography process of the UAV and has strong anti-system parameter perturbation, robustness and good trajectory tracking.
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spelling doaj.art-02fe5e8fba89481f84488179106012132022-12-22T03:50:38ZengSAGE PublishingMeasurement + Control0020-29402022-07-015510.1177/00202940221115634Aerial photography trajectory-tracking controller design for quadrotor UAVMin Xiao0Jing Liang1Li Ji2Zheng Sun3ZeYu Li4Hubei Engineering Technology Research Center for Farmland Environmental Monitoring, China Three Gorges University, Yichang, ChinaHubei Engineering Technology Research Center for Farmland Environmental Monitoring, China Three Gorges University, Yichang, ChinaCollege of Physical Education, China Three Gorges University, YiChang, ChinaHubei Engineering Technology Research Center for Farmland Environmental Monitoring, China Three Gorges University, Yichang, ChinaHubei Engineering Technology Research Center for Farmland Environmental Monitoring, China Three Gorges University, Yichang, ChinaQuad-rotor unmanned aerial vehicles (UAV) are prone to external interference during aerial photography of farmland environments. For example, they are affected by external airflow and load, resulting in route deviation and irregular image overlap, which seriously affects image quality. An aerial trajectory tracking controller is designed for this aerial photography process. To ensure that a drone can fly according to the established route during the aerial photography process and meet the requirements of large-scale topographic map stereo mapping for the flight control accuracy of the drone platform, the system was divided into a full-drive subsystem and an underactuated subsystem. The full-drive subsystem uses a fast terminal sliding mode controller to ensure that the variable ( z , ψ ) reaches the desired value. The under-actuated subsystem adopts the second-order sliding mode control was used to achieve effective position and attitude tracking of variables ( x , y , ϕ , θ ). The flight controllers are derived by using Lyapunov theory. Finally, with the aerial trajectory of a farmland taken as an example, the flight path control of the UAV is simulated. Simulation results show that the designed control system can be applied to the aerial photography process of the UAV and has strong anti-system parameter perturbation, robustness and good trajectory tracking.https://doi.org/10.1177/00202940221115634
spellingShingle Min Xiao
Jing Liang
Li Ji
Zheng Sun
ZeYu Li
Aerial photography trajectory-tracking controller design for quadrotor UAV
Measurement + Control
title Aerial photography trajectory-tracking controller design for quadrotor UAV
title_full Aerial photography trajectory-tracking controller design for quadrotor UAV
title_fullStr Aerial photography trajectory-tracking controller design for quadrotor UAV
title_full_unstemmed Aerial photography trajectory-tracking controller design for quadrotor UAV
title_short Aerial photography trajectory-tracking controller design for quadrotor UAV
title_sort aerial photography trajectory tracking controller design for quadrotor uav
url https://doi.org/10.1177/00202940221115634
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AT zhengsun aerialphotographytrajectorytrackingcontrollerdesignforquadrotoruav
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