TY - JOUR
T1 - A New Active-Thrust Tool Spindle and Integrated Force Measurement Technique for Robotic Drilling
AU - Cole, Matthew O.T.
AU - Kuresangsai, Pongsiri
AU - Puangmali, Pinyo
AU - Wongratanaphisan, Theeraphong
AU - Chamroon, Chakkapong
N1 - Publisher Copyright:
© 1996-2012 IEEE.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Disturbance estimator
KW - drill state recognition
KW - force measurement
KW - magnetic bearing
KW - robot machining
UR - https://www.scopus.com/pages/publications/85190790004
U2 - 10.1109/TMECH.2024.3383410
DO - 10.1109/TMECH.2024.3383410
M3 - Article
AN - SCOPUS:85190790004
SN - 1083-4435
VL - 30
SP - 108
EP - 118
JO - IEEE/ASME Transactions on Mechatronics
JF - IEEE/ASME Transactions on Mechatronics
IS - 1
ER -