Intelligent decoupling PID control for the forced-circulation evaporation system
查看参考文献15篇
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文摘
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The control objective of the forced-circulation evaporation process of alumina production is not only to avoid large fluctuations of the level, but also to ensure the product density to track its setpoint quickly. Due to the existence of strong coupling between the level loop and the product density loop, and high nonlinearities in the process, the conventional control strategy cannot achieve satisfactory control performance, and thus the production demand cannot be met. In this paper, an intelligent decoupling PID controller including conventional PID controllers, a decoupling compensator and a neural feedforward compensator is proposed. The parameters of such controller are determined by generalized predictive control law. Real-time experiment results show that the proposed method can decouple the loops effectively and thus improve the evaporation efficiency. |
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来源
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Chinese Journal of Chemical Engineering
,2015,23(12):2075-2086 【核心库】
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DOI
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10.1016/j.cjche.2015.09.008
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关键词
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Forced-circulation system
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Decoupling
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Neural networks
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Nonlinear system
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地址
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1.
College of Information and Electronic Engineering Shenyang Agricultural University, Shenyang, 110866
2.
College of Automation, Shenyang Institute of Engineering, State Key Laboratory of Digital Manufacturing Equipment and Technology, Shenyang, 110136
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Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, 110004
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语种
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英文 |
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文献类型
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研究性论文 |
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ISSN
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1004-9541 |
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学科
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化学工业 |
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基金
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国家自然科学基金
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the National Key Technology R&D Program
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中国博士后科学基金
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the Special Fund for Agroscientific Research in the Public Interest
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the Key Scientific and Technological Project of Liaoning Province
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文献收藏号
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CSCD:5607074
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参考文献 共
15
共1页
|
|
1.
Skogestad S.
Multivariable feedback control: Analysis and design, 2nd edition,2005
|
被引
1
次
|
|
|
|
|
2.
To L C. Implementation of a differential geometric nonlinear controller on an industrial evaporator system.
Control. Eng. Pract,1998,6(11):1309-1319
|
被引
6
次
|
|
|
|
|
3.
Quaak P. Comparison of process identification and physical modelling for falling-film evaporators.
Food Control,1994,5(2):73-82
|
被引
3
次
|
|
|
|
|
4.
Lozano J. Control studies in an industrial apple juice evaporator.
J. Food Sci,1984,49:1422-1427
|
被引
1
次
|
|
|
|
|
5.
Rangaiah C P. Nonlinear model predictive control of an industrial four-stage evaporator system via simulation.
Chem. Eng. Comput. J,2002,87(3):285-299
|
被引
1
次
|
|
|
|
|
6.
Astrom K J. Automatic tuning and adaptation for PID controllers-A survey.
Control. Eng. Pract,1993,1(4):699-714
|
被引
20
次
|
|
|
|
|
7.
Vu T N L. Independent design of multi-loop PI/ PID controllers for interacting multivariable processes.
J. Process Control,2010,20(8):922-933
|
被引
13
次
|
|
|
|
|
8.
Huang H P. A direct method for multi-loop PI/PID controller design.
J. Process Control,2003,13(8):769-786
|
被引
13
次
|
|
|
|
|
9.
Kam K M. Simulated nonlinear control studies of five-effect evaporator models.
Comput. Chem. Eng,2000,23(11/12):1795-1810
|
被引
10
次
|
|
|
|
|
10.
Wang Y C. Adaptive decoupling switching control for the forced-circulation evaporation system.
IEEE Trans. Control Syst. Technol,2013,21(3):964-974
|
被引
1
次
|
|
|
|
|
11.
Rudin W.
Principles of mathematical analysis, Third edition,1976
|
被引
3
次
|
|
|
|
|
12.
Wang Y G. Adaptive decoupling switching control based on generalized predictive control.
IET Control Theory Appl,2012,6(12):1828-1841
|
被引
2
次
|
|
|
|
|
13.
Ge S S. Adaptive NN control for a class of discrete-time nonlinear system.
Int. J. Control,2003,76(4):334-354
|
被引
4
次
|
|
|
|
|
14.
Chai T Y. Direct adaptive decoupling control for general stochastic multivariable systems.
Int. J. Control,1990,51(4):885-909
|
被引
11
次
|
|
|
|
|
15.
Goodwin G C. Discrete-time muti-variable adaptive control.
IEEE Trans. Autom. Control,1980,25(3):449-456
|
被引
40
次
|
|
|
|
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