2022
DOI: 10.1109/access.2022.3190955
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Path Tracking Control With Four-Wheel Independent Steering, Driving and Braking Systems for Autonomous Electric Vehicles

Abstract: This paper presents a method to design a path tracking controller with four-wheel independent braking (4WIB), drive (4WID) and steering (4WIS) systems equipped in in-wheel motordriven electric vehicles (IWM-EVs). Generally, it is difficult to calculate the steering angles of 4WIS and the braking/traction torques of 4WIB/4WID for path tracking control. Moreover, there have been limitations of an error dynamics-based path tracking controller, which requires assumptions on a target path. To cope with these proble… Show more

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Cited by 20 publications
(29 citation statements)
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“…For instance, in [ 93 ], the authors developed an AFS and braking ICC system designed for emergency collision avoidance in autonomous vehicles (AVs). Another study [ 94 ] delved into PT and ICC for obstacle avoidance, with a primary emphasis on improving PT [ 95 , 96 ].…”
Section: Previous Studiesmentioning
confidence: 99%
“…For instance, in [ 93 ], the authors developed an AFS and braking ICC system designed for emergency collision avoidance in autonomous vehicles (AVs). Another study [ 94 ] delved into PT and ICC for obstacle avoidance, with a primary emphasis on improving PT [ 95 , 96 ].…”
Section: Previous Studiesmentioning
confidence: 99%
“…Liu et al, proposed an MPC algorithm with dynamic constraints by combining feedforward control as a method of tracking the path of a four-wheeled independent steering robot composed of a steering and driving motor, considering the operation delay of the steering motor [ 24 ]. Jeong et al, proposed an algorithm that tracks paths based on yaw rates and generates yaw moments to distribute them to four wheels based on weighted pseudo-inverse-based control allocation (WPCA) for improved path tracking performance in four-wheel independent steering and driving systems [ 25 ].…”
Section: Introductionmentioning
confidence: 99%
“…Li designed a coordinated controller that integrates an MPC trajectory tracking controller and a velocity tracking controller, which is better in terms of tracking accuracy and body stability compared to active front wheel steering (AFS) [4]. Jeong and Yim converted the path tracking problem into the yaw rate tracking one, and avoided the disadvantages of the error dynamics based method [5]. Chen used LQR to achieve optimal control of trajectory tracking for four-wheel independent drive electric vehicles and designed a state feedback-feedforward control system [6].Marino R et al designed a nested PID steering control for lane keeping of autonomous vision-based vehicles.…”
Section: Introductionmentioning
confidence: 99%