A New Active-Thrust Tool Spindle and Integrated Force Measurement Technique for Robotic Drilling

  • Matthew O.T. Cole
  • , Pongsiri Kuresangsai
  • , Pinyo Puangmali
  • , Theeraphong Wongratanaphisan
  • , Chakkapong Chamroon

Research output: Contribution to journalArticlepeer-review

Abstract

A new concept for a smart drill spindle with active magnetic thrust bearing has been developed to enhance the monitoring and control capabilities of robotic drilling systems. This article reports on the realization and evaluation of an integrated thrust-force sensing technique for the spindle unit. The proposed technique uses a model-based state estimation scheme with calibrated nonlinear model of the spindle bearing forces. The method requires only one axial displacement sensor for real-time tool-force estimation and position control. A speed-dependent disturbance model is further defined and incorporated within the estimation scheme to compensate for spindle rotation effects. A method of using robot end-effector acceleration measurements to decouple the force estimate from both robot motion and gravity effects is also shown. Experiments are performed with a 7-axis lightweight industrial manipulator to assess the system's ability to provide accurate thrust force information under varied drilling conditions, while simultaneously controlling the motion of the drilling tool relative to the robot end-effector. The proposed technique provides new and important capabilities for drill-state recognition and penetration control, as well as the implementation of force-based control strategies.

Original languageEnglish
Pages (from-to)108-118
Number of pages11
JournalIEEE/ASME Transactions on Mechatronics
Volume30
Issue number1
DOIs
Publication statusPublished - 2025
Externally publishedYes

Keywords

  • Disturbance estimator
  • drill state recognition
  • force measurement
  • magnetic bearing
  • robot machining

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