IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-1-4757-1895-9_25.html
   My bibliography  Save this book chapter

Impedance Control Applied to Automated Deburring

In: Adaptive and Learning Systems

Author

Listed:
  • Neville Hogan

    (Massachusetts Institute of Technology, Department of Mechanical Engineering)

Abstract

This paper considers some aspects of automatic deburring by robot. The strategy proposed is based on impedance control. Impedance control is a parameter-adaptive approach to manipulation aimed at modulating the effective dynamic behavior of a robot, rather than just its end-effector force or motion. To apply impedance control to robotic deburring, a simple model of the deburring process is developed. A target impedance for the robot is proposed which facilitates the identification of the parameters of the model of the deburring environment and leads to a straightforward parameter-adaptive control strategy for the robot. A method for selecting values for the parameters of an impedance appropriate for deburring is developed by describing the robot’s task as an optimization problem. This method yields simple expressions relating the target impedance parameters to tolerances on the interface forces between the tool and the workpiece and tolerances on the desired motion of the tool.

Suggested Citation

  • Neville Hogan, 1986. "Impedance Control Applied to Automated Deburring," Springer Books, in: Kumpati S. Narendra (ed.), Adaptive and Learning Systems, pages 359-366, Springer.
  • Handle: RePEc:spr:sprchp:978-1-4757-1895-9_25
    DOI: 10.1007/978-1-4757-1895-9_25
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-1-4757-1895-9_25. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.