Multivariable fuzzy supervisory control for the laminar cooling process ofhot rolled slab

A multivariable fuzzy system has been presented for higher level supervisio n 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 designe d to suppress the external disturbance, the proposed system can automatical ly find the proper operating points for the cooling process under the varia tion of boundary conditions. The values of control variables at the operati ng point will be taken as the setpoints of a distributed control system (DC S) in the relevant cooling mode. The simulation and practical experiment sh ow the robust performance of the suggested system and its bright future in the industry.