Title :
Event-based modeling and control for the burnthrough point in sintering processes
Author :
Kwon, Wook Hyun ; Kim, Yong Ho ; Lee, Sang Jeong ; Paek, Ki-Nam
Author_Institution :
Sch. of Electr. Eng., Seoul Nat. Univ., South Korea
fDate :
1/1/1999 12:00:00 AM
Abstract :
This paper treats modeling and control for the burnthrough point in industrial sintering processes. First, a simple state-space model for event-time dynamics is derived for a complicated system by introducing events into a continuous variable system. For the control of the sintering process, a two-stage control policy is used. First, optimal interevent time is obtained from an output-constrained receding horizon control with a least-square prediction algorithm. Then the average strand speeds for the interevent times are obtained and applied as a command signal to a motor control system. It is proved that the proposed output-constrained receding horizon control law with a short horizon stabilizes the closed-loop system and the steady-state error for a set-point becomes zero. The real-time experiments are carried out in a POSCO (Pohang Steel Company, Korea) sintering plant and satisfactory results are presented in this paper. Also, computer simulations are carried out and compared with the real-time experiments
Keywords :
closed loop systems; discrete event simulation; least squares approximations; optimal control; sintering; stability; state-space methods; steel industry; POSCO; Pohang Steel Company; average strand speeds; burnthrough point; closed-loop system; continuous variable system; event-based control; event-based modeling; event-time dynamics; industrial sintering processes; interevent times; least-square prediction algorithm; motor control system; optimal interevent time; output-constrained receding horizon control; output-constrained receding horizon control law; short horizon; stability; steady-state error; two-stage control policy; Computer errors; Control systems; Electrical equipment industry; Error correction; Industrial control; Motor drives; Optimal control; Prediction algorithms; Process control; Steady-state;
Journal_Title :
Control Systems Technology, IEEE Transactions on