Application of Neuro-predictive Control to Laser Beam Welding
نویسنده
چکیده
Welding with laser beams is an innovative technique, which is leads to higher penetration depth and a narrower seam compared to conventional welding techniques. One significant criterion of the quality of a junction is the penetration depth. Within this article a predictive control scheme is presented that optimises the process input laser power by taking the future welding speed into account. For modelling this non-linear process an Artificial Neural Network (ANN) is applied. The GPC-algorithm with a linear model obtained by instantaneous linearization of the network is used. First results of the application on a real laser welding system are described. Copyright ©2002 IFAC
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