Kalman Filtering for Seam Tracking in Master-Slave Robot Remote Welding System

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Abstract:

Welding seam tracking precision is a key factor influencing welding quality for master-slave robot remote welding system. However, it does not satisfy the welding requirement due to significant noises. To eliminate the influence of noises upon the seam tracking precision and improve the seam tracking precision, a master-slave robot remote welding system was built and Kalman filtering (KF) was applied to the seam tracking process. The experimental results show that the KF eliminated the influence of noises upon the seam tracking precision and improved the seam tracking precision.

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Periodical:

Advanced Materials Research (Volumes 314-316)

Pages:

1005-1008

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August 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] H. C. Li, L. Wu, H. M. Gao. Review and prognosis of state of arts on remote welding teleoperation. Transactions of the China Welding Institution, vol. 27, (2006), pp.108-112. (In Chinese)

Google Scholar

[2] J. E. Agapakis, K. Masubuchi. Fundamentals and advances in the development of remote welding fabrication system. Welding Journal, vol. 65, (1986), pp.21-32.

Google Scholar

[3] J. P. Launary. Teleoperation and nuclear services advantages of computerized operator-assistance tools. Nuclear Engineering and Design, vol. 180, (1998), pp.47-52.

DOI: 10.1016/s0029-5493(97)00214-8

Google Scholar

[4] P. C. Tung, M. C. Wu, Y. R. Hwang. An image-guided mobile robotic welding system for SMAW repair processes. International Journal of Machine Tools and Manufacture, vol. 44, (2004), pp.1223-1233.

DOI: 10.1016/j.ijmachtools.2004.03.006

Google Scholar

[5] R. E. KALMAN. A new approach to linear filtering and prediction problems. Transactions of ASME. Series D, Journal of basic engineering. vol. 82, (1960), pp.35-45.

DOI: 10.1115/1.3662552

Google Scholar

[6] X.D. Gao, S.J. Na. Detection of weld position and seam tracking based on Kalman filtering of weld pool images, vol. 47,(2000), pp.664-673.

DOI: 10.1016/s0278-6125(06)00002-1

Google Scholar