首页> 中文期刊> 《上海交通大学学报:英文版》 >Comparison of Three Control Methods in Penetration Control of Pulsed Gas Tungsten Arc Welding

Comparison of Three Control Methods in Penetration Control of Pulsed Gas Tungsten Arc Welding

         

摘要

An artificial neural network model for backside bead width was established and three control methods——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 advantages 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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