Non Invasive Identification of Servo Drive Parameters

  • R. Neugebauer
  • A. Hellmich
  • S. Hofmann
  • H. Schlegel
Conference paper

Abstract

For the tuning of servo controllers as well as for monitoring functions, significant parameters of the controlled system are required. In contrast to identification methods with determined input signals, the paper focuses on the problem of identification with regular process movements (non invasive identification), leading to a lack of power density in some frequency ranges. A nonlinear Least Squares (LS) approach with single mass system and friction characteristic is investigated regarding the accomplishable accuracy and necessary constraints. The proposed method is applicable on industrial motion controllers and has been carried out with a multitude of input sequences. To verify the performance of the approach, achieved experimental results for the model parameters are exposed.

Keywords

Input Sequence Power Density Spectrum Little Square Problem Friction Characteristic Servo Drive 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • R. Neugebauer
    • 1
  • A. Hellmich
    • 1
  • S. Hofmann
    • 1
  • H. Schlegel
    • 1
  1. 1.Faculty of Mechanical Engineering, Institute for Machine Tools and Production ProcessesChemnitz University of TechnologyChemnitzGermany

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