Adaptive vehicle parameter identification in speed varying situations

The objective of this paper is to identify several vehicle lateral and vertical dynamics parameters, including the horizontal center of gravity (CG) position and the CG height that has a major role in rollover. Least Squares and Kalman Filtering techniques are employed in order to propose a novel identification algorithm that is robust against speed variations. Hence it can be coupled with a rollover controller effectively while identification is in progress. Extensive simulations are carried out in order to demonstrate the superior performance of the proposed method.

Language

  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: 1440-1445
  • Monograph Title: 14th International IEEE Conference on Intelligent Transportation Systems (ITSC 2011)

Subject/Index Terms

Filing Info

  • Accession Number: 01564426
  • Record Type: Publication
  • ISBN: 9781457721984
  • Files: TRIS
  • Created Date: May 20 2015 2:32PM