Method of regulating and controlling a technical process...

Data processing: artificial intelligence – Neural network – Learning task

Reexamination Certificate

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C219S110000

Reexamination Certificate

active

07127438

ABSTRACT:
A method for controlling and driving a technical process executed in time by applying at each time t instructions Ci(t), leading to a measurable but not observable result R(t) and generating a plurality of observable quantities distinct from the result R(t) whereof at least two are independent Gj(t), which consists in: measuring at least two independent observable quantities Gj(t), Gp(t); with a predictive model M, or a set of models, whereof the variables comprise the at least two independent observable quantities, calculating an estimation Res(t)=M(G1(t), Gp(t) of the result R(t); using a drive law L, whereof the input variable is the estimated result Res(t) calculating new instructions Ci(t+1), applicable for time t+1; and replacing the instructions [C1(t), Cn(t)] by the instructions [C1(t), Cn(t+1)]. The method for controlling and driving a technical process is applicable to spot welding.

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“An intl control system for resistance spot welding using a neural network & fuzzy logic”, Messler, R.W., Jr.; Min Jou; Li, C.J.; Industry Applications Conf, 1995. Thirtieth IAS Annual Meeting. Conf Rec of the 1995 IEEE, Vol. 2, Oct. 8-12, 1995, pp. 1757-1763.
“Control of Resistance Spot Welding”, Shriver, J.; Huei Peng; Hu, S.J.; American Control Conference, 1999. Proceedings of the 1999, Vol. 1, Jun. 2-4 1999, pp. 187-191.
“Neural Network-Based Resistance Spot Welding Control & Quality Prediction”, Ivezic, N.; Alien, J.D., Jr.; Zacharia, T.; Intelligt Processing and Manufacturing of Materials, 1999. Proc of the 2nd International Conf on Vol. 2, Jul. 10-15, 1999, pp. 989-994.

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