Study on Flue Gas Desulfurization Process Control System Based on Coupling Decoupling Control

2013 ◽  
Vol 864-867 ◽  
pp. 1494-1497
Author(s):  
Hui Jia Yang ◽  
Jian Sun ◽  
Zhi Feng Dong

The coupling decoupling control system was presented to realize the requirement of the flue gas desulfurization (FGD), to solve the multivariable control problem in this process control system. The FGD experiment control system was designed, the spray flow was controlled by manual and automatic control mode. After the process control flow and the coupling decoupling control principle were studied, the feed-forward compensation control method was simulated. Results show that the decoupling control method could solve the multivariable control problem, with a good anti-interference capacity, meeting the requirement of FGD process control.

2013 ◽  
Vol 846-847 ◽  
pp. 339-342
Author(s):  
Jian Qin ◽  
Chun Guang Wei

There is a universal coupling in process control system, especially with the development of science and technology, industry system has became more and more big, the control process is more complicated, the variables which need to solve are also gradually increased. Therefore between the variables in the associated process produce coupling. In order to solve the coupling problems, we introduced PI self-adjusting fuzzy control model in the link of decoupling, and designed the model and the algorithm of decoupling with decoupling controller. The experiment showed that, after the introduction of PI algorithm, the time when the system reaches a steady is greatly reduced, saving time and cost. Also there is no coupling between the two signals, which shows that PI algorithm successfully reaches the decoupling in the process control.


2012 ◽  
Vol 572 ◽  
pp. 104-109
Author(s):  
Xiao Min Zhou ◽  
Yun Feng Wu ◽  
Yang Jun Mao

The flatness and edge drop control system is a coupled multivariable control system. Realizing the coupling relationship quantitative analysis and decoupling control of them is one of the most important parts of achieving the high-precision control. In this paper, the flatness and edge drop control abilities of all the control actuators are analyzed. The coupling relationship between flatness and edge drop is analyzed. The decoupling control method is proposed to realize the decoupling control of flatness and edge drop. Simulation results represent that the flatness and edge drop control performance is improved effectively.


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