Multivariable fuzzy supervisory control for the laminar cooling process of hot rolled slab

A multivariable fuzzy system has been presented for higher level supervision of industrial process. With the help of a statistical process controller (SPC), this fuzzy supervisory control system can replace the human operator in the laminar cooling process. Since a feedforward compensator is designed to suppress the external disturbance, the proposed system can automatically find the proper operating points for the cooling process under the variation of boundary conditions. The values of control variables at the operating point will be taken as the setpoints of a distributed control system (DCS) in the relevant cooling mode. The simulation and practical experiment show the robust performance of the suggested system and its bright future in the industry.