Neuron self-learning PSD control for backside width of weld pool in pulsed GTAW with wire filler

被引：0

作者：

Zhang, Guangjun ^{[1
]}

Chen, Shanben ^{[2
]}

Wu, Lin ^{[1
]}

机构：

[1] Lab. of Adv. Welding Technol., Harbin Inst. of Technol., Harbin 150001, China

[2] Inst. of Welding Technol., Shanghai Jiaotong Univ., Shanghai 200030, China

来源：

China Welding (English Edition) | 2003年 / 12卷 / 02期

关键词：

Artificial intelligence - Intelligent control - Learning algorithms;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The weld pool shape control by intelligent strategy was studied. A neuron self-learning PSD controller for backside width of weld pool in pulsed GTAW with wire filler was designed. The PSD control arithmetic was analyzed, simulating experiment by MATLAB software was done, and the validating experiments on varied heat sink workpiece and varied gap workpiece were successfully implemented. The study results show that the neuron self-learning PSD control method can attain a perfect control effect under different set values and conditions, and is suitable for the welding process with the varied structure and coefficients of control model.

引用

页码：87 / 91