Fuzzy Inference System controls in hot dip galvanizing lines

Today's manufacturers need high-quality galvanized steel strip. High-quality galvanized steel strip is very important for automotive, building and consumer goods industries. Strip speed and process parameters are continuously changing in production galvanized steel strip. That in turn leads to coating thickness fluctuations, which translate into problems in quality and wastage of coating material. This paper presents a new galvannealing control system to optimize this metallurgical process. Fuzzy Inference System based on new control system enables production to be run safely at lower limit of permissible coating values with a significant improvement in the uniformity and quality of the coating layer. A discussion of simulation results show the improvements achieved by using FIS in comparison to the conventional controller.

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