Steering rate controller based on curvature of trajectory for autonomous driving vehicles

Il Bae, Jin Hyo Kim, Shiho Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Citations (Scopus)

Abstract

We propose a steering control method for an autonomous vehicle by controlling the steering rate instead of the steering angle and describe a method for extracting the steering rate from the reference path using the relationship with curvature and slip angle. The proposed steering control method can be used not only for planning steering control input from the desired trajectories at the planning stage but also for the instantaneous planning of a driving path during vehicle motion. From the desired trajectory plotted in a two-dimensional XY coordinate system, the steering rate is extracted from the reference path, as a function of x. The extracted steering rate functions as the control input to the vehicle's controller for changing the front wheel's angle. MATLAB simulations of a double-lane-change maneuver were conducted for two scenarios, i.e., when the desired trajectory is given and when the driving path is planned instantaneously. For the double-lane-change maneuver, the curvature and the steering rate input to the controller are extracted from the virtually generated instantaneous reference path. The robustness of the proposed model and method are verified by re-constructing the trajectory traveled when the calculated steering rate is input into the controller.

Original languageEnglish
Title of host publication2013 IEEE Intelligent Vehicles Symposium, IEEE IV 2013
Pages1381-1386
Number of pages6
DOIs
Publication statusPublished - 2013
Event2013 IEEE Intelligent Vehicles Symposium, IEEE IV 2013 - Gold Coast, QLD, Australia
Duration: 2013 Jun 232013 Jun 26

Publication series

NameIEEE Intelligent Vehicles Symposium, Proceedings

Other

Other2013 IEEE Intelligent Vehicles Symposium, IEEE IV 2013
Country/TerritoryAustralia
CityGold Coast, QLD
Period13/6/2313/6/26

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Automotive Engineering
  • Computer Science Applications

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