许锋, 罗雄麟. Manipulation margin and control performance analysis of chemical process under advanced process control[J]. CIESC Journal, 2012, (3): 881-886.
DOI:
许锋, 罗雄麟. Manipulation margin and control performance analysis of chemical process under advanced process control[J]. CIESC Journal, 2012, (3): 881-886.DOI: 10.3969/j.issn.0438-1157.2012.03.029.
Manipulation margin and control performance analysis of chemical process under advanced process control
the margin of manipulated variables must be determined not only for the possible change of process and equipment condition but also for the dynamic control of process control system
but its size cannot be too large in consideration of equipment cost. Now advanced process control
represented by predictive control provides a new method to improve process control performance. It is necessary to analyze the relationship between manipulation margin and control performance under advanced process control and find out the process design scheme to improve process control performance significantly at a lower cost of manipulation margin. So the mathematical description of solving the manipulation margin of chemical process under advanced process control is established. In advanced process control the linear model predictive control is used based on linear state space model
which is obtained through linearization on the steady nominal operating point
and the possible disturbances are also involved
then the problem is solved through dynamic optimization. The air flow rate margin of FCC regenerator was calculated as an example. When prediction horizon of predictive control was changed
different control performances were obtained and those corresponding manipulation margins were calculated. So the relationship between control performance and manipulation margin was found out.
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Related Author
Hongwei GUAN
De GU
Zhihuan SONG
Lingjian YE
Feifan SHEN
XU Jun
XU Feng
LUO Xionglin
Related Institution
School of Mechanical and Electrical Engineering, Ningbo University of Finance and Economics
Key Laboratory of Advanced Control for Light Industry Processes of Ministry of Education, Jiangnan University
School of Control Science and Engineering, Zhejiang University
Ningbo Institute of Technology, Zhejiang University
Department of Automation, China University of Petroleum