DIDO Hammerstein Identification of Mild Steel Welding Pool in Pulsed GTAW Dynamic Process with Wire Filler
arXiv:1804.092581 citationsh-index: 49
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Provides a modeling approach for the welding pool dynamics, which is relevant for control and optimization in welding processes.
The paper models the nonlinear welding dynamic process in pulsed GTAW with wire filler using a MIMO Hammerstein model, and identifies the model parameters from experimental input-output data using pseudo-random signals.
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