DIDO Hammerstein Identification of Mild Steel Welding Pool in Pulsed GTAW Dynamic Process with Wire Filler

TL;DR

This paper models the nonlinear behavior of a mild steel welding pool in pulsed GTAW using a MIMO Hammerstein model, developing an identification algorithm with experimental data to accurately describe the process.

Contribution

It introduces a novel application of Hammerstein model identification to the welding pool process in pulsed GTAW, enhancing process understanding.

Findings

Successful identification of the welding pool model

Effective use of pseudo-random signals for system identification

Improved modeling accuracy of the welding process

Abstract

This paper analyzed the nonlinearity of welding dynamic process, and then adopted MIMO Hammerstein model to describe approximately the process. An identification algorithm was developed and pseudo random signals were adopted as model input. Through a welding experiment, input-output data were obtained and the Hammerstein model of welding pool was identified