Title :
Multivariable fuzzy supervisory control for the laminar cooling process of hot rolled slab
Author :
Guan, Shouping ; Li, Han-Xiong ; Tso, S.K.
Author_Institution :
Res. Center of Autom., Northeast Univ. of Technol., Shenyang, China
fDate :
3/1/2001 12:00:00 AM
Abstract :
A multivariable fuzzy system is presented for higher level supervision of industrial process. With the help of a statistical process controller, 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 are taken as the setpoint of a distributed control system in the relevant cooling mode. The simulation and practical experiment show the robust performance of the suggested system
Keywords :
cooling; distributed control; feedforward; fuzzy control; hot rolling; multivariable control systems; statistical process control; steel industry; distributed control system; feedforward; fuzzy control; hot rolled slab; laminar cooling process; multivariable control system; statistical process control; supervisory control; Automatic control; Control systems; Cooling; Electrical equipment industry; Fuzzy control; Fuzzy systems; Humans; Process control; Supervisory control; Temperature control;
Journal_Title :
Control Systems Technology, IEEE Transactions on