Model Predictive Control with Feedforward Strategy for Gas Collectors of Coke Ovens

Kai Li; Dewei Li; Yugeng Xi; Debin Yin

doi:10.1016/j.cjche.2014.05.013

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Model Predictive Control with Feedforward Strategy for Gas Collectors of Coke Ovens

PROCESS CONTROL | Updated：2026-01-06

- Model Predictive Control with Feedforward Strategy for Gas Collectors of Coke Ovens
- Chinese Journal of Chemical Engineering Vol. 22, Issue 7, Pages: 769-773(2014)
- Affiliations：
  
  1. Department of Automation, Shanghai Jiao Tong University, Key Laboratory of System Control and Information Processing, Ministry of Education,Shanghai,China,200240
  2. Shanghai Xinhua Control Technology (Group) Co., Ltd,Shanghai,China,200241
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2014.05.013
  CLC：
- Published：2014
- Accepted：
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Kai Li, Dewei Li, Yugeng Xi, Debin Yin . Model Predictive Control with Feedforward Strategy for Gas Collectors of Coke Ovens[J]. , 2014, 22(7): 769-773.
DOI：

Kai Li, Dewei Li, Yugeng Xi, Debin Yin . Model Predictive Control with Feedforward Strategy for Gas Collectors of Coke Ovens[J]. , 2014, 22(7): 769-773. DOI： 10.1016/j.cjche.2014.05.013.

摘要

Abstract

In coking process

the production quality

equipment life

energy consumption

and process safety are all influenced by the pressure in gas collector pipe of coke oven

which is frequently influenced by disturbances. The main control objectives for the gas collector pressure system are keeping the pressures in collector pipes at appropriate operating point. In this paper

model predictive control (MPC) strategy is introduced to control the collector pressure system due to its ability to handle constraint and good control performance. Based on a method proposed to simplify the system model

an extended state space model predictive control is designed

which combines the feedforward strategy to eliminate the disturbance. The simulation results in a system with two coke ovens show the feasibility and effectiveness of the control scheme.

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