Abstract
Cross-sectional shape control in the cold rolling of thin steel strips has been simulated using a fuzzy controller and emulator developed using fuzzy theory and neural networks, respectively, based on production data. Irregular cross-sectional shapes of cold-rolled thin steel strips were classified into six types. For each irregular strip shape, fuzzy control rules were developed and applied continuously until the strip shape converged to the desired flat shape. The simulation results demonstrated that the developed fuzzy controller worked properly.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have