Skip to main navigation Skip to search Skip to main content

Modelling and identification of magnetorheological vehicle suspension

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Citations (Scopus)

Abstract

The paper presents methods of estimation of vehicle suspension system parameters based on kinetic measurements. The vehicle suspension is assumed to include springs, linear dampers and magnetorheological (MR) dampers which are known to be nonlinear. In many cases hysteresis loop is revealed in the static characteristics of MR dampers. Nonlinear full-car vehicle suspension model is defined and adapted for using linear and nonlinear least-squares identification method. Identifications experiments are performed assuming limited number of available kinetic sensors. Solution space with respect to the location of the vehicle body's gravity center is presented as well as quality index values and time diagrams are reported based on estimated model parameters and simulation results.

Original languageEnglish
Title of host publication2012 17th International Conference on Methods and Models in Automation and Robotics, MMAR 2012
Pages228-233
Number of pages6
DOIs
Publication statusPublished - 2012
Event2012 17th International Conference on Methods and Models in Automation and Robotics, MMAR 2012 - Miedzyzdroje, Poland
Duration: 27 Aug 2012 → 30 Aug 2012

Publication series

Name2012 17th International Conference on Methods and Models in Automation and Robotics, MMAR 2012

Conference

Conference2012 17th International Conference on Methods and Models in Automation and Robotics, MMAR 2012
Country/TerritoryPoland
CityMiedzyzdroje
Period27/08/12 → 30/08/12

Keywords

  • full-car model
  • least-squares method
  • magnetorheological damper
  • nonlinear vehicle suspension system

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction

Fingerprint

Dive into the research topics of 'Modelling and identification of magnetorheological vehicle suspension'. Together they form a unique fingerprint.

Cite this