The Paton Welding Journal, 2004, №06

2004 №06 (02)

2004 №06 (04)

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The Paton Welding Journal, 2004, #6, 14-17 pages

Application of adaptive algorithm for welding quality monitoring in control systems of resistance spot welding machines

N.V. Podola, P.M. Rudenko, V.S. Gavrish

E.O. Paton Electric Welding Institute of the NASU 11 Kazymyr Malevych Str., 03150, Kyiv, Ukraine.

Abstract
Peculiarities of application of the adaptive algorithm of neuron networks in resistance spot welding control systems based on microcontroller are considered. To simplify the required calculations at preset accuracy of control, the neuron network with input process parameters in relative units is suggested.
Keywords: resistance spot welding, nugget diameter, weld spot, microcontroller, neuron network, adaptation, algorithm

References

1. Paton, B.E., Podola, N.V., Gavrish, V.S. et al. (1999) Automatic evaluation of quality of resistance spot welding using the neuron networks. Avtomatich. Svarka, 12, 3-8.
2. Podola, N.V., Rudenko, P.M., Gavrish, V.S. (2002) Adaptive algorithm of quality control of resistance spot welding using neural networks. The Paton Welding J., 1, 44-46.
3. Podola, N.V., Gavrish, V.S., Rudenko, P.M. (1999) Adaptive system of control of resistance spot welding process of low-carbon steel. Avtomatich. Svarka, 6, 3-5.
4. Rajbman, N.S., Chadeev, V.M. (1975) Construction of models for control of production process. Moscow: Energiya.

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Suggested Citation

N.V. Podola, P.M. Rudenko, V.S. Gavrish (2004) Application of adaptive algorithm for welding quality monitoring in control systems of resistance spot welding machines. The Paton Welding J., 06, 14-17.

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