Strip Flatness and Gauge Multivariable Control at a Cold Tandem Mill Based on Fuzzy RBF Neural Network

Strip rolling is a very complicated nonlinear process, and flatness control (AFC) and gauge control (AGC) are a decoupled complex system. A kind of strip flatness and gauge complex control system is presented based on the fuzzy RBF neural network (FRBF) multivariable controller design method. Simulation results show that this kind of new controller has good performances of adaptively tracking target and resisting disturbances and is superior to the conventional decoupled PID control in terms of improving the strip flatness and gauge accuracy.