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IJAT Vol.3 No.4 pp. 415-421
doi: 10.20965/ijat.2009.p0415
(2009)

Paper:

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Sensorless Cutting Force Monitoring Using Parallel Disturbance Observer

Daisuke Kurihara*, Yasuhiro Kakinuma**, and Seiichiro Katsura**

*School of Integrated Design Engineering, Graduate School of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku, Yokohama 223-8522, Japan

**Department of System Design Engineering, Faculty of Science and Technology, Keio University

Received:
March 2, 2009
Accepted:
April 22, 2009
Published:
July 5, 2009
Creative Commons License
Keywords:
cutting force, process monitoring, disturbance observer, machine tool table, linear motor
Abstract
Measuring cutting force is effective in monitoring machining processes, but requires that a force sensor be installed on the tool table. The parallel disturbance observer we propose in table control using velocity response and current reference realizes both robust control and cutting force estimation without additional sensors. Performance of this method was evaluated through simulation and experiments.
Cite this article as:
D. Kurihara, Y. Kakinuma, and S. Katsura, “Sensorless Cutting Force Monitoring Using Parallel Disturbance Observer,” Int. J. Automation Technol., Vol.3 No.4, pp. 415-421, 2009.
Data files:
References
  1. [1] Y. Altintas and S. Park, “Dynamic Compensation of Spindle-Integrated Force Sensors,” Annals of the CIRP, 53-1, pp. 305-308, 2004.
  2. [2] A. Sarhan, A. Matsubara, S. Ibaraki, and Y. Kakino, “Monitoring of Cutting Force Using Spindle Displacement Sensor,” Proc. of the 2004 Japan-USA Symposium on Flexible Automation, Denver, July 19-21, 2004.
  3. [3] H. Shinno, H. Hashizume, and H. Yoshioka, “Sensor-Less Monitoring of Cutting Force During Ultraprecision Machining,” Annals of the CIRP, 52-1, pp. 303-306, 2003.
  4. [4] K. Huh, S. Han, and B. Lee, “Non-linear Adaptive Control of a Linear-Motor-Driven X-Y Table via Estimating Friction and Ripple Forces,” Proc. of the Institution of Mechanical Engineers, Part C, 222-6, pp. 911-918, 2008.
  5. [5] K. Ohnishi, “Robust Motion Control by Disturbance Observer,” Journal of the Robotics Society of Japan, 11-4, pp. 486-493, 1993.
  6. [6] K. Umezawa, Y. Kakinuma, T. Aoyama, and K. Yokoi, “Virtual Motor Control for the Machine Tools Table with 3 Linear Servo Motors,” The 4th International Conference on Leading Edge Manufacturing in 21st Century of JSME, Fukuoka, Japan, November 7-9, pp. 511-516, 2007.

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