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Predictive Control for Offset-Free Motion of Industrial Articulated Robots

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F17%3A00477598" target="_blank" >RIV/67985556:_____/17:00477598 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/MMAR.2017.8046911" target="_blank" >http://dx.doi.org/10.1109/MMAR.2017.8046911</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/MMAR.2017.8046911" target="_blank" >10.1109/MMAR.2017.8046911</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Predictive Control for Offset-Free Motion of Industrial Articulated Robots

  • Original language description

    This paper deals with the design of model predictive control for the precise motion of industrial articulated robots. The solution is based on specific incremental formulations of equations of predictions. The proposed formulations enable the design to compensate and suppress undesirable positional offsets. The corresponding incremental predictive algorithms incorporating discrete integrators are introduced. The theoretical results are demonstrated by the set of simulation examples with the six-axis multipurpose ABB robot IRB 140 that belongs to the large class of industrial articulated robots.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 22nd IEEE International Conference on Methods and Models in Automation and Robotics

  • ISBN

    978-1-5386-2403-6

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    688-693

  • Publisher name

    West Pomeranian University of Technology

  • Place of publication

    Szczecin

  • Event location

    Miedzyzdroje

  • Event date

    Aug 28, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000425229300124