Discrete-model identification for nonlinear laser welding process

Xiaodong Na; Yu Ming Zhang; Bruce Walcott

doi:10.1109/COASE.2007.4341708

Discrete-model identification for nonlinear laser welding process

Xiaodong Na, Yu Ming Zhang, Bruce Walcott

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

This paper introduces the identification results of a discrete-time model of a laser welding process whose input is the reciprocal of the welding speed and output is the width of the weld pool. To model this nonlinear process, a Hammerstein model is used. A series of step response experiments have been conducted to obtain the experimental data. A method has been proposed to identify the discrete Hammerstein model in two steps. MATLAB programs are utilized with Least Square method for parameters identification. Experimental results confirmed that the proposed identification method for the nonlinear dynamic discrete-time as described by a Hammerstein model is effective to approximate the laser welding process.

Original language	English
Title of host publication	Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007
Pages	1002-1007
Number of pages	6
DOIs	https://doi.org/10.1109/COASE.2007.4341708
State	Published - 2007
Event	3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007 - Scottsdale, AZ, United States Duration: Sep 22 2007 → Sep 25 2007

Publication series

Name	Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007

Conference

Conference	3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007
Country/Territory	United States
City	Scottsdale, AZ
Period	9/22/07 → 9/25/07

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

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10.1109/COASE.2007.4341708

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Na, X., Zhang, Y. M., & Walcott, B. (2007). Discrete-model identification for nonlinear laser welding process. In Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007 (pp. 1002-1007). Article 4341708 (Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007). https://doi.org/10.1109/COASE.2007.4341708

@inproceedings{6e4dc9f442a843b0989699aebc271ffc,

title = "Discrete-model identification for nonlinear laser welding process",

abstract = "This paper introduces the identification results of a discrete-time model of a laser welding process whose input is the reciprocal of the welding speed and output is the width of the weld pool. To model this nonlinear process, a Hammerstein model is used. A series of step response experiments have been conducted to obtain the experimental data. A method has been proposed to identify the discrete Hammerstein model in two steps. MATLAB programs are utilized with Least Square method for parameters identification. Experimental results confirmed that the proposed identification method for the nonlinear dynamic discrete-time as described by a Hammerstein model is effective to approximate the laser welding process.",

author = "Xiaodong Na and Zhang, {Yu Ming} and Bruce Walcott",

year = "2007",

doi = "10.1109/COASE.2007.4341708",

language = "English",

isbn = "1424411548",

series = "Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007",

pages = "1002--1007",

booktitle = "Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007",

note = "3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007 ; Conference date: 22-09-2007 Through 25-09-2007",

}

Na, X, Zhang, YM & Walcott, B 2007, Discrete-model identification for nonlinear laser welding process. in Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007., 4341708, Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007, pp. 1002-1007, 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007, Scottsdale, AZ, United States, 9/22/07. https://doi.org/10.1109/COASE.2007.4341708

Discrete-model identification for nonlinear laser welding process. / Na, Xiaodong; Zhang, Yu Ming ; Walcott, Bruce.
Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007. 2007. p. 1002-1007 4341708 (Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Walcott, Bruce

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N2 - This paper introduces the identification results of a discrete-time model of a laser welding process whose input is the reciprocal of the welding speed and output is the width of the weld pool. To model this nonlinear process, a Hammerstein model is used. A series of step response experiments have been conducted to obtain the experimental data. A method has been proposed to identify the discrete Hammerstein model in two steps. MATLAB programs are utilized with Least Square method for parameters identification. Experimental results confirmed that the proposed identification method for the nonlinear dynamic discrete-time as described by a Hammerstein model is effective to approximate the laser welding process.

AB - This paper introduces the identification results of a discrete-time model of a laser welding process whose input is the reciprocal of the welding speed and output is the width of the weld pool. To model this nonlinear process, a Hammerstein model is used. A series of step response experiments have been conducted to obtain the experimental data. A method has been proposed to identify the discrete Hammerstein model in two steps. MATLAB programs are utilized with Least Square method for parameters identification. Experimental results confirmed that the proposed identification method for the nonlinear dynamic discrete-time as described by a Hammerstein model is effective to approximate the laser welding process.

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T3 - Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007

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BT - Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007

T2 - 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007

Y2 - 22 September 2007 through 25 September 2007

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Na X, Zhang YM , Walcott B. Discrete-model identification for nonlinear laser welding process. In Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007. 2007. p. 1002-1007. 4341708. (Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007). doi: 10.1109/COASE.2007.4341708

Discrete-model identification for nonlinear laser welding process

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