Soft-sensing Design Based on Semiclosed-loop Framework*
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Soft-sensing Design Based on Semiclosed-loop Framework*
Soft-sensing Design Based on Semiclosed-loop Framework*
中国化学工程学报(英文版)2012年20卷第6期 页码:1213-1218
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:
Supported by the National Natural Science Foundation of China (60934007;61074060;61104078);the Research and Innovation Project of Shanghai Education Commission (11CXY08);the State Key Laboratory of Synthetical Automation for Process Industries.
DOI:
中图分类号:
纸质出版:2012
Accepted:
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汤奇峰, 李德伟, 席裕庚, 等. Soft-sensing Design Based on Semiclosed-loop Framework*[J]. 中国化学工程学报(英文版), 2012,20(6):1213-1218.
[J]. Chinese Journal of Chemical Engineering, 2012, 20(6): 1213-1218.
汤奇峰, 李德伟, 席裕庚, 等. Soft-sensing Design Based on Semiclosed-loop Framework*[J]. 中国化学工程学报(英文版), 2012,20(6):1213-1218.DOI:
[J]. Chinese Journal of Chemical Engineering, 2012, 20(6): 1213-1218.DOI:
Soft-sensing Design Based on Semiclosed-loop Framework*
Soft-sensing is widely used in industrial applications.The traditional soft-sensing structure is open-loop without correction mechanism.If the working condition is changed or there is unknown disturbance
the forecast result of soft-sensing model may be incorrect.In order to obtain accurate values
it is necessary to carry out online correction.In this paper
a semiclosed-loop framework (SLF) is proposed to establish a soft-sensing approach
which estimates the input variables in the next moment by a prediction model and calibrates the output variables by a compensation model.The experimental results show that the proposed method has better prediction accuracy and robustness than other open-loop models.
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相关作者
Honghai Wang
Chunli Li
Xiong Yu
Yuqi Hu
Weiyi Su
Jun Liang
Yatao Wang
Guangyan Wang
相关机构
Coal Chemical R&D Center of Kailuan Group
School of Information Engineering, Tianjin University of Commerce
School of Chemical Engineering and Technology, National-Local Joint Engineering Laboratory for Energy Conservation in Chemical Process Integration and Resources Utilization, Hebei University of Technology
Engineering Research Center of Functional Materials Intelligent Manufacturing of Zhejiang Province, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University
State Key Laboratory of Chemical Engineering, College of Chemical and Biological Engineering, Zhejiang University