Hybrid optimization setpoint strategy for slab reheating furnace temperature

Author

Wang, Zhongjie ; Chai, Tianyou ; Guan, Shouping ; Shao, Cheng

Author_Institution

Res. Centre of Autom., Northeastern Univ., Shenyang, China

Volume

6

fYear

1999

fDate

1999

Firstpage

4082

Abstract

This paper investigated a hybrid optimization setpoint strategy for slab reheating furnace temperature. Due to the complexity of the process dynamics, the strategy is divided into two parts: steady state zone temperature optimization and its dynamic compensation. Simplex method is adopted in solving the optimization problem and PID regulation and expert experiences are applied to dynamic compensation procedure, the PID compensation method is the dominant means and expert experience modification is the auxiliary means. It has proved that this strategy is effective, saves a lot of fuel and improves the heating quality

Keywords

compensation; furnaces; metallurgical industries; optimal control; temperature control; three-term control; PID compensation; PID regulation; dynamic compensation; dynamic compensation procedure; expert experience; expert experience modification; heating quality; hybrid optimization setpoint strategy; process dynamics complexity; simplex method; slab reheating furnace temperature; steady state zone temperature optimization; Automation; Furnaces; Heat transfer; Heating; Optimization methods; Predictive models; Slabs; Steady-state; Temperature distribution; Thermal conductivity;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 1999. Proceedings of the 1999

Conference_Location

San Diego, CA

ISSN

0743-1619

Print_ISBN

0-7803-4990-3

Type

conf

DOI

10.1109/ACC.1999.786311

Filename

786311