Structured Estimation of Tire Forces and the Ground Slope Using SM Observers View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-04

AUTHORS

Belgacem Jaballah, Nacer Kouider M’Sirdi

ABSTRACT

In agricultural context, the principal cause of serious accidents for all-terrain vehicles (ATVs) is rollover. The most important parameters related to this risk is the ground slope. In this paper, we propose a structured observer to estimate the system states and the longitudinal tire forces using only wheel angular velocities measurement. The robust estimation is based on a second order sliding mode observer. This estimation is then used to build up a ground slope estimation. The algorithm is composed by two cascaded estimators. This structured estimation is then applied to the model of an agricultural vehicle G7 (Gregoire™)integrated in the driving simulation environment SCANeR™-Studio. More... »

PAGES

197-204

References to SciGraph publications

  • 2008-07. An approach to polynomial NARX/NARMAX systems identification in a closed-loop with variable structure control in INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING
  • 2006-01. Observer-based nonlinear control of a torque motor with perturbation estimation in INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING
  • 2012-06. Unknown inputs observer for a class of nonlinear uncertain systems: An LMI approach in INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11633-014-0781-x

    DOI

    http://dx.doi.org/10.1007/s11633-014-0781-x

    DIMENSIONS

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