Learning control of pipe cutting robot with magnetic binder

Sungsoo Rhim, Sung Whan Lee, Gook Hwan Kim, Soon Geul Lee

Research output: Contribution to journalConference articlepeer-review

Abstract

The tracking control of an automatic pipe cutting robot, called APCROM, with a magnetic binder was studied. Using magnetic force APCROM, a wheeled robot, binds itself to the pipe and executes unmanned cutting process. The gravity effect on the movement of APCROM varies as it rotates around the pipe laid in the gravitational field. In addition to the varying gravity effect other types of nonlinear disturbances including backlash in the driving system and the slip between the wheels of APCROM and the pipe also cause degradation in the cutting process. To maintain a constant velocity and consistent cutting performance, the authors adopted a repetitive learning controller (MRLC), which learns the required effort to cancel the tracking errors. An angular-position estimation method based on the MEMS-type accelerometer was also used in conjunction with MRLC to compensate the tracking error caused by slip at the wheels. Experimental results verify the effectiveness of the proposed control scheme.

Original languageEnglish
Article number60423N
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume6042 II
DOIs
Publication statusPublished - 2005
EventICMIT 2005: Control Systems and Robotics - Chongging, China
Duration: 20 Sep 200523 Sep 2005

Keywords

  • Angular position estimation
  • Learning control
  • Pipe cutting
  • Slip
  • Wheeled robot

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