Supervisory Control of a Reheating furnace based on Iterative Dynamic Programming Method
In steel works, a reheating furnace is an essential part of a plate/hot strip/wire rod mill process and heats various types of slabs/blooms to its target discharge temperature as closely as possible with tolerable soaking level. In a conventional furnace, because direct measuring method of inner temperature profile of slab is unavailable, the only method to know the temperature of a slab and temperatures of zones (set-point temperature) is the mathematical model. Those approaches have been finely applied to real works with proper physical properties and reasonable assumptions. In general, the model is composed of two parts; the first is to have a good prediction model for slab temperature, there are many good research results about this topic; the next is to find out proper zone temperature based on optimization technique, it seems that there are few and the results are not so successful because it showed irregular behavior in serial predicting of set-point temperatures. In this study, we tried Iterative Dynamic Programming (IDP) method which has dynamic control bounds to obtain more realistic optimal furnace zone temperature. And we could get a good stable serial prediction on zone temperature with multi-step ahead fashion with IDP and it was possible to accomplish the optimization-step within 4 minute allowed time for a general furnace control with selected 12 slabs.
Reheating furnace Slab Supervisory Control Iterative Dynamic Programming
YoungIl Kim D.H.Kang K.H.Kim In-Bum Lee
Energy Research Team,Research Institute of Science and Technology,Pohang,790-330,Korea;bDepartment o Energy Research Team,Research Institute of Science and Technology,Pohang,790-330,Korea bDepartment of Chemical Engineering,POSTECH,Pohang,790-784,Korea
国际会议
西安
英文
2007-08-15（万方平台首次上网日期，不代表论文的发表时间）