Fuzzy approach to shape control in cold rolling of steel strip

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 steal 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