Adap-tyre: DEKF filtering for vehicle state estimation based on tyre parameter adaptation
by Arash Hosseinian Ahangarnejad; S. Çağlar Başlamışlı
International Journal of Vehicle Design (IJVD), Vol. 71, No. 1/2/3/4, 2016

Abstract: This paper presents an application of the dual extended Kalman filter (DEKF) algorithm for the estimation of vehicle/tyre dynamics states and parameters. The developed algorithm Adap-tyre relies on online adaptation of simple tyre models available in the literature and it is used in this paper for vehicle handling estimation. The performance of Adap-tyre is assessed by comparing estimated vehicle characteristics (vehicle body sideslip angle and tyre lateral forces) and tyre parameters with characteristics of a non-linear vehicle planar model with tyres modelled according to the magic formula. Simulation results indicate that the proposed algorithm is very efficient in estimating critical vehicle states and tyre parameters.

Online publication date: Fri, 02-Sep-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Vehicle Design (IJVD):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com