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Analysis of Vehicle Dynamics using Kalman Filter

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F07%3APU72744" target="_blank" >RIV/00216305:26210/07:PU72744 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analysis of Vehicle Dynamics using Kalman Filter

  • Original language description

    This article presents possible benefits of using Kalman filter to estimate vehicle dynamics states based on signals measured by sensors installed in an experimental car. The filtration process was applied to real data obtained from testing manoeuvre as per ISO/WD 3888-2 standard. Bicycle model of a vehicle was used for state description of dynamics. Lateral dynamics was investigated. Discrete Kalman filter implemented in Matlab-Simulink software environment was used for analysis.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    JR - Other machinery industry

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2007

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    SIMULATION MODELLING OF MECHATRONIC SYSTEMS III

  • ISBN

    978-80-214-3559-9

  • Number of pages of the result

    18

  • Pages from-to

  • Number of pages of the book

    256

  • Publisher name

    Brno University of Technology, Faculty on Mechanical Engineering

  • Place of publication

    Brno

  • UT code for WoS chapter