z-logo
open-access-imgOpen Access
Trajectory Tracking of Autonomous Ground Vehicles with Actuator Dead Zones
Author(s) -
Pengfei Zhang,
Qiyuan Chen,
Tingting Yang
Publication year - 2021
Publication title -
international journal of computer games technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.248
H-Index - 19
eISSN - 1687-7055
pISSN - 1687-7047
DOI - 10.1155/2021/2914190
Subject(s) - control theory (sociology) , trajectory , actuator , carsim , tracking (education) , computer science , dead zone , control engineering , engineering , control (management) , artificial intelligence , psychology , pedagogy , oceanography , physics , astronomy , geology
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom