| Comparison of Three Control Methods in Penetration Control of Pulsed Gas Tungsten Arc Welding |
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| 作者姓名： | 陈文杰 陈善本 林涛 |
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| 作者单位： | Inst.ofWeldingTechnology,ShanghaiJiaotongUniv.,Shanghai200030,China |
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| 基金项目： | National Natural Science Foundation ofChina( No. 5 95 75 0 5 7,No. 5 963 5 160 ) |
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| 摘 要： | An artificial neural network model for backside bead width was established and three control meth-ods——PID. fuzzy and neuron were designed, simulated and tested. The test results of bead-on-plate weld of GTAW indicate that the artificial neural network (ANN) modeling and learning control method have more advan-tages than the conventional method. They show that the ANN modeling and learning control method is an effective approach to real time control of welding dynamics and ideal quality.
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| 关 键 词： | PID控制 模糊控制 神经元控制 智能控制 ANN模型 GTAW 人工神经网络 |
Comparison of Three Control Methods in Penetration Control of Pulsed Gas Tungsten Arc Welding |
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| CHEN Wen jie ,CHEN Shan ben,LIN Tao.Comparison of Three Control Methods in Penetration Control of Pulsed Gas Tungsten Arc Welding[J].Journal of Shanghai Jiaotong university,2003,8(1):63-66. |
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| Authors: | CHEN Wen jie CHEN Shan ben LIN Tao |
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| Institution: | Inst. of Welding Technology, Shanghai Jiaotong Univ. , Shanghai 200030, China |
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| Abstract: | An artificial neural network model for backside bead width was established and three control meth-ods PID, fuzzy and neuron were designed, simulated and tested. The test results of bead-on-plate weld ofGTAW indicate that the artificial neural network (ANN) modeling and learning control method have more advan-tages than the conventional method. They show that the ANN modeling and learning control method is an effectiveapproach to real time control of welding dynamics and ideal quality. |
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| Keywords: | PID control fuzzy control neuron control ANN modeling GTAW |
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