Author:
Yunlian Liu,Xinjun Li,Dan Gao
Abstract
Abstract
This research put forwards a stepwise parameter optimization approach based on maximum satisfaction aiming at the characteristics of multi-process control indices and cascading in iron ore sintering process. Given the sintering process involves multiple quality indices and the demand of reducing cost of first proportioning and the consumption of coking coal has to be met, we built a satisfaction evaluation function, based on which, an improved whale optimization algorithm(IWOA) is used to optimize control parameters. Simulation results indicate that the optimization approach of control parameters proposed in this research can effectively promote the quality indices of increasing sintering iron ore and decrease production cost.
Subject
General Physics and Astronomy
Reference8 articles.
1. High blast furnaces productivity operations with low coke rates in the European Union;Lacroix;LaRevue de Métallurgie-CIT,2001
2. A genetic algorithm based optimization of controlling the process of copper flash smelting [J];Jinliang;Chinese Journal of Nonferrous Metals,2007
3. Fuzzy dynamic quality model and control of nickel flash smelting process [J];Weihan;Journal of Xi’an Jiaotong University,2000