A Composite Model Predictive Control Strategy for Furnaces

Hao Zang; Hongguang Li; Jingwen Huang; Jia Wang

doi:10.1016/j.cjche.2014.05.014

Your Location：

Home >

Browse articles >

A Composite Model Predictive Control Strategy for Furnaces

PROCESS CONTROL | Updated：2026-01-06

- A Composite Model Predictive Control Strategy for Furnaces
- A Composite Model Predictive Control Strategy for Furnaces
- 中国化学工程学报（英文版） 2014年22卷第7期页码：788-794
- Affiliations：
  
  Automation Department, Beijing University of Chemical Technology,Beijing,China,100029
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2014.05.014
  中图分类号：
- 纸质出版：2014
- Accepted：
Scan QR Code
Hao Zang, Hongguang Li, Jingwen Huang, 等. A Composite Model Predictive Control Strategy for Furnaces[J]. 中国化学工程学报（英文版）, 2014,22(7):788-794.

Hao Zang, Hongguang Li, Jingwen Huang, Jia Wang. A Composite Model Predictive Control Strategy for Furnaces[J]. , 2014, 22(7): 788-794.
Hao Zang, Hongguang Li, Jingwen Huang, 等. A Composite Model Predictive Control Strategy for Furnaces[J]. 中国化学工程学报（英文版）, 2014,22(7):788-794. DOI： 10.1016/j.cjche.2014.05.014.

Hao Zang, Hongguang Li, Jingwen Huang, Jia Wang. A Composite Model Predictive Control Strategy for Furnaces[J]. , 2014, 22(7): 788-794. DOI： 10.1016/j.cjche.2014.05.014.

摘要

Abstract

Tube furnaces are essential and primary energy intensive facilities in petrochemical plants. Operational optimization of furnaces could not only help to improve product quality but also benefit to reduce energy consumption and exhaust emission. Inspired by this idea

this paper presents a composite model predictive control (CMPC) strategy

which

taking advantage of distributed model predictive control architectures

combines tracking nonlinear model predictive control and economic nonlinear model predictive control metrics to keep process running smoothly and optimize operational conditions. The controllers connected with two kinds of communication networks are easy to organize and maintain

and stable to process interferences. A fast solution algorithm combining interior point solvers and Newton's method is accommodated to the CMPC realization

with reasonable CPU computing time and suitable online applications. Simulation for industrial case demonstrates that the proposed approach can ensure stable operations of furnaces

improve heat efficiency

and reduce the emission effectively.

关键词

Keywords

references

浏览量

Downloads

CSCD

文章被引用时，请邮件提醒。

Submit

工具集

关联资源

Distributed model predictive control based on adaptive sampling mechanism

Nano-confinement construction of FeCo@NCNTs nanocomposite for pH-universal oxygen reduction catalysis and high-power Zn-air battery

Enhanced mass transfer in flexible electrodes of open-pore cobalt disulfide nanosheets supported on sulfur-doped carbon fibers for efficient zinc-air batteries

CO2 leakage behavior from CO2 hydrate-liquid CO2-seawater coexistence system in unsealed sediments

Synergistic Ba/Na promotion of BaFe2O4-derived catalysts for enhanced CO2 hydrogenation to light olefins