Abstract

System modeling and parameters estimation are key elements to realize model-based control. Here, we present a discussion of modeling dynamics of a forestry forwarder crane, for which standard Euler-Lagrange formulations are used to describe its equations of motion. To calibrate this model according to experimental data, we perform parameter estimation based on the method of least squares. This procedure allows identifying various unknown parameters, which are related to the inertias, masses, location of center of masses, and friction forces coefficients. The results of simulation tests show a significant correspondence between measured and estimated variables, validating our modeling approach.

Published in

Title: World Automation Congress 2012
eISBN: 978-1-4673-4497-5
Publisher: IEEE

Conference

World Automation Congress (WAC), JUN 24-28, 2012, Puerto Vallarta, MEXICO

SLU Authors

• La Hera, Pedro

  • Department of Forest Biomaterials and Technology, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Robotics
Forest Science


Permanent link to this page (URI)

https://res.slu.se/id/publ/118070