| 引用本文: | 高向东 , 黄石生 , 陈铁军.人工神经网络GTAW建模及控制[J].控制理论与应用,1999,16(6):921~923.[点击复制] |
| Gao Xiangdong,Huang Shisheng,Chen Tiejun.Artificial Neural Network for GTAW Modeling and Control*[J].Control Theory and Technology,1999,16(6):921~923.[点击复制] |
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| 人工神经网络GTAW建模及控制 |
| Artificial Neural Network for GTAW Modeling and Control* |
| 摘要点击 1039 全文点击 490 投稿时间：1998-05-31 修订日期：1999-08-22 |
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| DOI编号 |
| 1999,16(6):921-923 |
| 中文关键词 ANN CTAW 建模；熔深 |
| 英文关键词 ANN GTAW modeling weld pool depth |
| 基金项目 |
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| 中文摘要 |
| 给出一种用于钨极气体保护电弧焊(GTAW)建模及控制的人工神经网络(ANN)．重点论述利用ANN建立焊接参数模型的方法以及在熔深控制方面的应用，通过实际实验证明，所提出的智能方法具有良好的系统控制性能． |
| 英文摘要 |
| An artificial neural network (ANN) for gas tungsten arc welding (GTAW) process modeling and control is presented in this paper.The discussion is mainly focused on the use of ANN for the weld parameter modeling and its application for the control of the weld pool depth.The effectiveness of the proposed intelligent methods is demonstrated by the real experi-ments.The weld modeling method using ANN yields conspicuously improved perfonnance. |
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