Robust Controller Design for Trajectory Tracking of Autonomous Vehicle

In order to improve the stability and fault tolerance of the control system of the autonomous vehicle in the middle and low speed lane changing, a dual loop weighted trajectory tracking robust control system is designed. Firstly, the lateral displacement transfer function and yaw angle transfer function are derived by combining the mathematical model of trajectory planning and vehicle motion, and the proportion integral differential (PID) control parameters are calculated by mathematical derivation and transfer function reduction. Then, the influence of weighting coefficient on system stability and its determination method are studied by simulation. The results show that the dual-loop weighted control is feasible and effective, and it could provide a good fault tolerance, good control ability, good tracking effect, and small lateral displacement error and yaw angular velocity error for lane changing conditions in the medium and low speed.

• Record URL:
  • https://doi.org/10.1504/IJVP.2020.111406
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/17453194
• Supplemental Notes:
  • Copyright © 2020 Inderscience Enterprises Ltd.
• Authors:
  • Xueyun, Li
  • Shuang, Liang
  • Ju, Zhang
• Publication Date: 2020

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 381-398
• Serial:
  • International Journal of Vehicle Performance
  • Volume: 6
  • Issue Number: 4
  • Publisher: Inderscience Enterprises Limited
  • ISSN: 1745-3194
  • EISSN: 1745-3208
  • Serial URL: http://www.inderscience.com/jhome.php?jcode=ijvp

Subject/Index Terms

• TRT Terms: Automated vehicle control; Automatic controllers; Automatic tracking; Autonomous vehicles; Dynamic stability; Lane changing; Mathematical models; Vehicle design; Vehicle trajectories
• Subject Areas: Design; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01760132
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 16 2020 9:31AM