|Table of Contents|

Intelligent optimization control and its application in ammonia distillation process for soda manufacturing


Research Field:
Publishing date:


Intelligent optimization control and its application in ammonia distillation process for soda manufacturing
Yang Maying1Jin Xiaoming2Shi Xiaozhen2
1.College of Information Engineering,Zhejiang University of Technology,Hangzhou 310023,China; 2.Institute of Cyber System and Control,Zhejiang University,Hangzhou 310027,China
ammonia distillation predictive control intelligent control coordinated optimization control
In order to improve the automatic level of steamed ammonia production,save energy and reduce consumption in soda manufacture,this paper proposes an intelligent coordinated optimization control strategy for the ammonia distillation process,based on predictive control of single ammonia distillation towers.Facing the operation of ammonia process with large time delay,time-varying,multivariable coupling and parallel operation of distillation towers,the dynamic mathematical model of ammonia evaporation tower is established.Afterwards the two layer optimization control of single towers is cooperated with multi-tower intelligent coordination and optimization,the intelligent optimization control of ammonia process is thus realized.Simulation results and industrial application illustrate that the strategies achieve better control performance,reduce 0.21 kg ammonia and 16 kg steam consumptions per ton of soda.


[1] 大连化工研究设计院.纯碱工学[M].北京:化学工业出版社,2004.
Hu Shuya.Design of energy saving and consumption reduction in distillation of ammoniasoda plant[J].Soda Industry,2006(3):17-20.
Zuo Aiwu.An intelligent control system used in ammonia distilling process[D].Wuhan:Information Science and Engineering College,Wuhan University of Science and Technology,2004.
Gao Kun,Zhang Shuji,Jin Xiaoming.Application of advanced control technology in light ash calcination process of soda plant[J].Digital Petroleum and Chemical Industry,2007(4):7-59.
[7]Rawlings J B,Stewart B T.Coordinating multiple optimization-based controllers:new opportunities and challenges[J].J Process Control,2008,18:839-845.
[8]Scattolini R.Architectures for distributed and hierarchical model predictive control—a review[J].J Process Control,2009,19:723-731.
Tong Yifei,Jin Xiaoming.Optimal control of multi-objective in circulating fluidized bed boiler combustion process based on generalized predictive control method[J].Proceedings of the CSEE.2010,30(11):38-43.
Jin Xiaoming,Zhang Quanling,Su Hongye.Application of advanced process control to carbonation columns in manufacture of soda[J].Journal of Chemical Industry and Engineering,2008,59(7):1761-1767.
Zhang Zhenxin.Modeling and optimum control of carbonation process in manufacture of soda[J].Soda Industry,2011(4):8-10.
Chai Tianyou,Ding Jinliang,Wang Hong,et al.Hybrid intelligent optimal method for operation of complex industrial processes[J].Acta Automatica Sinica,2008,34(5):505-515.
Wu Min,Liao Huanyu,Cao Weihua,et al.Intelligent optimization and control methods and their application in sintering process[J].Metallurgical Industry Automation,2010,34(2):6-9.
Peng Xiaobo,Gui Weihua,Hu Zhikun,et al.Operational pattern intelligent optimization for copper flash smelting process[J].Control and Decision,2008,23(3):297-301.


Last Update: 2014-02-28