Abstract
Based on system identification of pulsed MIG welding process for aluminum alloy, due to strong coupling among the welding parameters, PID controller, fuzzy PID controller and neural network inverse controller were designed, the strong coupling multi-input and multi-output (MIMO) system was simulated using pulse current duty cycle and wire feed speed as control input, and wire extension and pool width as control output. The results show that the neural network inverse control provides faster response and better robustness, which lays a foundation for decoupling control of aluminum pulsed MIG welding.
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© 2011 Springer-Verlag Berlin Heidelberg
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Fan, D., Huang, J., Lu, L., Shi, Y. (2011). Simulation of Decoupling Control of Pulsed MIG Welding for Aluminum Alloy. In: Tarn, TJ., Chen, SB., Fang, G. (eds) Robotic Welding, Intelligence and Automation. Lecture Notes in Electrical Engineering, vol 88. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19959-2_34
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DOI: https://doi.org/10.1007/978-3-642-19959-2_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19958-5
Online ISBN: 978-3-642-19959-2
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