Distributed Component Friction Model for Precision Control of a Feed Drive System

Wonkyun Lee, Chan Young Lee, Young Hun Jeong, Byung Kwon Min

Research output: Contribution to journalArticlepeer-review

35 Citations (Scopus)


Nonlinear friction is a dominant factor of the complexity growth of feed drive dynamic behavior. In particular, a feed drive system equipped with rolling contact components such as ball screws and linear motion (LM) guides undergoes impalpable friction behavior. Therefore, proper modeling and compensation of friction in feed drive components play a crucial role in improving the precision of a feed drive system. In this study, to overcome the accuracy limitation of the simplified feed drive model, a distributed component friction model (DCFM) of a feed drive system is developed. Friction has been modeled as a single element of entire feed drive system in the conventional model. However, the proposed DCFM is composed of models of individual feed drive components such as ball screw and LM guide including their friction behaviors. To take advantage of the DCFM by considering both presliding and sliding friction behaviors of each component, LuGre model is applied. For experimental verification of the accuracy of the proposed DCFM, a specially designed feed drive testbed is constructed. Using the testbed, the friction forces of ball screws and LM guides are measured independently. Using the DCFM, a friction observer is built for real-time monitoring and compensation of the friction force. A proportional-derivative feed drive position controller with an observer-based friction compensator is implemented and the experimental results are presented.

Original languageEnglish
Article number6963401
Pages (from-to)1966-1974
Number of pages9
JournalIEEE/ASME Transactions on Mechatronics
Issue number4
Publication statusPublished - 2015 Aug 1

Bibliographical note

Publisher Copyright:
© 1996-2012 IEEE.

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering


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