University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Comparison of Path Tracking and Torque-Vectoring Controllers for Autonomous Electric Vehicles

Chatzikomis, Christoforos, Sorniotti, Aldo, Gruber, Patrick, Zanchetta, Mattia, Willans, D and Balcombe, B (2018) Comparison of Path Tracking and Torque-Vectoring Controllers for Autonomous Electric Vehicles IEEE Transactions on Intelligent Vehicles.

[img]
Preview
Text
IEEE_ITS_AD_TV_comparison_rev139_CC_MZ_accepted.pdf - Accepted version Manuscript

Download (1MB) | Preview

Abstract

Steering control for path tracking in autonomous vehicles is well documented in the literature. Also, continuous direct yaw moment control, i.e., torque-vectoring, applied to human-driven electric vehicles with multiple motors is extensively researched. However, the combination of both controllers is not yet well understood. This paper analyzes the benefits of torque-vectoring in an autonomous electric vehicle, either by integrating the torque-vectoring system in the path tracking controller, or through its separate implementation alongside the steering controller for path tracking. A selection of path tracking controllers is compared in obstacle avoidance tests simulated with an experimentally validated vehicle dynamics model. A genetic optimization is used to select the controller parameters. Simulation results confirm that torque-vectoring is beneficial to autonomous vehicle response. The integrated controllers achieve the best performance if they are tuned for the specific tire-road friction condition. However, they can also cause unstable behavior when they operate in lower friction conditions without any re-tuning. On the other hand, separate torque-vectoring implementations provide consistently stable cornering response for a wide range of friction conditions. Controllers with preview formulations, or based on appropriate reference paths with respect to the middle line of the available lane, are beneficial to the path tracking performance.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Mechanical Engineering Sciences
Authors :
NameEmailORCID
Chatzikomis, Christoforosc.chatzikomis@surrey.ac.uk
Sorniotti, AldoA.Sorniotti@surrey.ac.uk
Gruber, PatrickP.Gruber@surrey.ac.uk
Zanchetta, Mattiam.zanchetta@surrey.ac.uk
Willans, D
Balcombe, B
Date : 8 October 2018
DOI : 10.1109/TIV.2018.2874529
Copyright Disclaimer : © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords : Autonomous vehicle; electric vehicle; path tracking control; torque-vectoring control; optimization; vehicle dynamics
Depositing User : Melanie Hughes
Date Deposited : 29 May 2018 10:34
Last Modified : 06 Nov 2018 15:12
URI: http://epubs.surrey.ac.uk/id/eprint/846528

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800