Crosscorrelation functions based nonlinear identification of diode laser welding process

Author

Zhang, Yu ; Liu, Yusheng ; Na, Xiaodong ; Zhang, YuMing

Author_Institution

Dept. of Autom., Sichuan Univ., Chengdu

fYear

2008

fDate

21-24 April 2008

Firstpage

1

Lastpage

4

Abstract

The diode laser welding process is a typical nonlinear system with disturbances and noises. To obtain unbiased estimates for unknown parameters, an identification method based on correlation functions is preferred. In this paper, a nonlinear identification method based on crosscorrelation functions is used to establish a nonlinear model, which is linear in parameters, for the diode laser welding process addressed. The model has been validated by the comparison of the computed step response with the actual step response.

Keywords

correlation methods; laser beam welding; least mean squares methods; semiconductor lasers; step response; crosscorrelation functions; diode laser welding process; least squares method; nonlinear identification; nonlinear model; nonlinear system; step response; unknown parameters; Computer aided manufacturing; Diode lasers; Laser noise; Least squares methods; Manufacturing automation; Nonlinear systems; Optical control; Power lasers; Process control; Welding; Crosscorrelation function; least squares method; nonlinear system; welding process;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Technology, 2008. ICIT 2008. IEEE International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-1705-6

Electronic_ISBN

978-1-4244-1706-3

Type

conf

DOI

10.1109/ICIT.2008.4608542

Filename

4608542