Longitudinal tire force estimation with unknown input observer

Yan Wang, David M. Bevly, Shih Ken Chen

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

7 Scopus citations

Abstract

This paper presents the development of a longitudinal tire force estimation algorithm. Rather than using highly nonlinear tire-road friction models, we propose a decentralized estimation algorithm which treats the longitudinal tire force of the individual wheel as an unknown input signal for the one-DOF wheel dynamic model. Two types of unknown input observers are designed to estimate the longitudinal tire force based on the wheel speed measurement in this study. To make the estimated tire force signals also satisfy the longitudinal dynamic model of the vehicle, the estimation results of the unknown input observer are integrated with the longitudinal acceleration measurement by using a projection method.

Original languageEnglish (US)
Title of host publicationASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012
Pages523-530
Number of pages8
Volume3
DOIs
StatePublished - Dec 1 2012
EventASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012 - Fort Lauderdale, FL, United States
Duration: Oct 17 2012Oct 19 2012

Other

OtherASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012
CountryUnited States
CityFort Lauderdale, FL
Period10/17/1210/19/12

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