Recursive Identification of Cornering Stiffness Parameters for an Enhanced Single Track Model
2009 (English)In: Proceedings of the 15th IFAC Symposiumon System Identification, 2009, 1726-1731 p.Conference paper (Refereed)
The current development of safety systems within the automotive industry heavily relies on the ability to perceive the environment. This is accomplished by using measurements from several different sensors within a sensor fusion framework. One important part of any system of this kind is an accurate model describing the motion of the vehicle. The most commonly used model for the lateral dynamics is the single track model, which includes the so called cornering stiffness parameters. These parameters describe the tire-road contact and are unknown and even time-varying. Hence, in order to fully make use of the single track model, these parameters have to be identified. The aim of this work is to provide a method for recursive identification of the cornering stiffness parameters to be used on-line while driving.
Place, publisher, year, edition, pages
2009. 1726-1731 p.
LiTH-ISY-R, ISSN 1400-3902 ; 2893
Recursive estimation, Recursive least square, Vehicle dynamics, Gray box model, Tire-road interaction
National CategoryEngineering and Technology Control Engineering
IdentifiersURN: urn:nbn:se:liu:diva-45372DOI: 10.3182/20090706-3-FR-2004.00287Local ID: 82231ISBN: 978-3-902661-47-0OAI: oai:DiVA.org:liu-45372DiVA: diva2:266234
15th IFAC Symposium on System Identification, Saint-Malo, France, July, 2009