Emergency obstacle avoidance trajectory tracking control based on active disturbance rejection for autonomous vehicles

To solve the problem of understeer and oversteer for autonomous vehicle under high-speed emergency obstacle avoidance conditions, considering the effect of steering angular frequency and vehicle speed on yaw rate for four-wheel steering vehicles in the frequency domain, a feed-forward controller for...

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Main Authors: Runqiao Liu, Minxiang Wei, Nan Sang
Format: Article
Language:English
Published: SAGE Publishing 2020-05-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.1177/1729881420921105
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spelling doaj-b04c7fd6a6f54a05b0bde9eb93887b8e2020-11-25T03:51:43ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142020-05-011710.1177/1729881420921105Emergency obstacle avoidance trajectory tracking control based on active disturbance rejection for autonomous vehiclesRunqiao Liu0Minxiang Wei1Nan Sang2 Department of Vehicle Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China Department of Vehicle Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China Department of Vehicle Engineering, Changzhou Institute of Technology, Changzhou, People’s Republic of ChinaTo solve the problem of understeer and oversteer for autonomous vehicle under high-speed emergency obstacle avoidance conditions, considering the effect of steering angular frequency and vehicle speed on yaw rate for four-wheel steering vehicles in the frequency domain, a feed-forward controller for four-wheel steering autonomous vehicles that tracks the desired yaw rate is proposed. Furthermore, the steering sensitivity coefficient of the vehicle is compensated linearly with the change in the steering angular frequency and vehicle speed. In addition, to minimize the tracking errors caused by vehicle nonlinearity and external disturbances, an active disturbance rejection control feedback controller that tracks the desired lateral displacement and desired yaw angle is designed. Finally, CarSim® obstacle avoidance simulation results show that an autonomous vehicle with the four-wheel steering path tracking controller consisting of feed-forward control and feedback control could not only improve the tire lateral forces but also reduce tail flicking (oversteer) and pushing ahead (understeer) under high-speed emergency obstacle avoidance conditions.https://doi.org/10.1177/1729881420921105
collection DOAJ
language English
format Article
sources DOAJ
author Runqiao Liu
Minxiang Wei
Nan Sang
spellingShingle Runqiao Liu
Minxiang Wei
Nan Sang
Emergency obstacle avoidance trajectory tracking control based on active disturbance rejection for autonomous vehicles
International Journal of Advanced Robotic Systems
author_facet Runqiao Liu
Minxiang Wei
Nan Sang
author_sort Runqiao Liu
title Emergency obstacle avoidance trajectory tracking control based on active disturbance rejection for autonomous vehicles
title_short Emergency obstacle avoidance trajectory tracking control based on active disturbance rejection for autonomous vehicles
title_full Emergency obstacle avoidance trajectory tracking control based on active disturbance rejection for autonomous vehicles
title_fullStr Emergency obstacle avoidance trajectory tracking control based on active disturbance rejection for autonomous vehicles
title_full_unstemmed Emergency obstacle avoidance trajectory tracking control based on active disturbance rejection for autonomous vehicles
title_sort emergency obstacle avoidance trajectory tracking control based on active disturbance rejection for autonomous vehicles
publisher SAGE Publishing
series International Journal of Advanced Robotic Systems
issn 1729-8814
publishDate 2020-05-01
description To solve the problem of understeer and oversteer for autonomous vehicle under high-speed emergency obstacle avoidance conditions, considering the effect of steering angular frequency and vehicle speed on yaw rate for four-wheel steering vehicles in the frequency domain, a feed-forward controller for four-wheel steering autonomous vehicles that tracks the desired yaw rate is proposed. Furthermore, the steering sensitivity coefficient of the vehicle is compensated linearly with the change in the steering angular frequency and vehicle speed. In addition, to minimize the tracking errors caused by vehicle nonlinearity and external disturbances, an active disturbance rejection control feedback controller that tracks the desired lateral displacement and desired yaw angle is designed. Finally, CarSim® obstacle avoidance simulation results show that an autonomous vehicle with the four-wheel steering path tracking controller consisting of feed-forward control and feedback control could not only improve the tire lateral forces but also reduce tail flicking (oversteer) and pushing ahead (understeer) under high-speed emergency obstacle avoidance conditions.
url https://doi.org/10.1177/1729881420921105
work_keys_str_mv AT runqiaoliu emergencyobstacleavoidancetrajectorytrackingcontrolbasedonactivedisturbancerejectionforautonomousvehicles
AT minxiangwei emergencyobstacleavoidancetrajectorytrackingcontrolbasedonactivedisturbancerejectionforautonomousvehicles
AT nansang emergencyobstacleavoidancetrajectorytrackingcontrolbasedonactivedisturbancerejectionforautonomousvehicles
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