Trajectory Tracking of Autonomous Ground Vehicles with Actuator Dead Zones

This paper investigates the trajectory tracking problem of autonomous ground vehicles (AGVs). The dynamics considered feature external disturbances, model uncertainties, and actuator dead zones. First, a novel time-varying yaw guidance law is proposed based on the line of sight method. By a state tr...

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Main Authors: Pengfei Zhang, Qiyuan Chen, Tingting Yang
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:International Journal of Computer Games Technology
Online Access:http://dx.doi.org/10.1155/2021/2914190
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author Pengfei Zhang
Qiyuan Chen
Tingting Yang
author_facet Pengfei Zhang
Qiyuan Chen
Tingting Yang
author_sort Pengfei Zhang
collection DOAJ
description This paper investigates the trajectory tracking problem of autonomous ground vehicles (AGVs). The dynamics considered feature external disturbances, model uncertainties, and actuator dead zones. First, a novel time-varying yaw guidance law is proposed based on the line of sight method. By a state transformation, the AGV is proved to realize trajectory tracking control under the premise of eliminating guidance deviation. Second, a fixed time dead zone compensation control method is introduced to ensure the yaw angle tracking of the presented guidance. Furthermore, an improved fixed-time disturbance observer is proposed to compensate for the influence of the actuator dead zone on disturbance observation. Finally, the trajectory tracking control strategy is designed, and simulation comparison shows the effectiveness of the compensate method. The CarSim–MATLAB cosimulation shows that the proposed control strategy effectively makes the AGV follow the reference trajectory.
format Article
id doaj-art-c9220101f47e473bbd3c3b4bd93e0a22
institution Kabale University
issn 1687-7055
language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series International Journal of Computer Games Technology
spelling doaj-art-c9220101f47e473bbd3c3b4bd93e0a222025-02-03T01:21:09ZengWileyInternational Journal of Computer Games Technology1687-70552021-01-01202110.1155/2021/2914190Trajectory Tracking of Autonomous Ground Vehicles with Actuator Dead ZonesPengfei Zhang0Qiyuan Chen1Tingting Yang2School of EngineeringSchool of EngineeringSchool of EngineeringThis paper investigates the trajectory tracking problem of autonomous ground vehicles (AGVs). The dynamics considered feature external disturbances, model uncertainties, and actuator dead zones. First, a novel time-varying yaw guidance law is proposed based on the line of sight method. By a state transformation, the AGV is proved to realize trajectory tracking control under the premise of eliminating guidance deviation. Second, a fixed time dead zone compensation control method is introduced to ensure the yaw angle tracking of the presented guidance. Furthermore, an improved fixed-time disturbance observer is proposed to compensate for the influence of the actuator dead zone on disturbance observation. Finally, the trajectory tracking control strategy is designed, and simulation comparison shows the effectiveness of the compensate method. The CarSim–MATLAB cosimulation shows that the proposed control strategy effectively makes the AGV follow the reference trajectory.http://dx.doi.org/10.1155/2021/2914190
spellingShingle Pengfei Zhang
Qiyuan Chen
Tingting Yang
Trajectory Tracking of Autonomous Ground Vehicles with Actuator Dead Zones
International Journal of Computer Games Technology
title Trajectory Tracking of Autonomous Ground Vehicles with Actuator Dead Zones
title_full Trajectory Tracking of Autonomous Ground Vehicles with Actuator Dead Zones
title_fullStr Trajectory Tracking of Autonomous Ground Vehicles with Actuator Dead Zones
title_full_unstemmed Trajectory Tracking of Autonomous Ground Vehicles with Actuator Dead Zones
title_short Trajectory Tracking of Autonomous Ground Vehicles with Actuator Dead Zones
title_sort trajectory tracking of autonomous ground vehicles with actuator dead zones
url http://dx.doi.org/10.1155/2021/2914190
work_keys_str_mv AT pengfeizhang trajectorytrackingofautonomousgroundvehicleswithactuatordeadzones
AT qiyuanchen trajectorytrackingofautonomousgroundvehicleswithactuatordeadzones
AT tingtingyang trajectorytrackingofautonomousgroundvehicleswithactuatordeadzones