Soft-sensing Design Based on Semiclosed-loop Framework*

Chin.J.Chem.Eng. ›› 2012, Vol. 20 ›› Issue (6): 1213-1218.

• PROCESS ESTIMATION AND SOFT SENSOR • Previous Articles Next Articles

Soft-sensing Design Based on Semiclosed-loop Framework^*

TANG Qifeng¹, LI Dewei¹, XI Yugeng¹, YIN Debin²

1. Department of Automation, Shanghai Jiao Tong University, Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai 200240, China;
2. Shanghai Xinhua Control Technology (Group) Co., Ltd, Shanghai 200241, China

Received:2012-04-14 Revised:2012-05-14 Online:2012-12-28 Published:2012-12-28
Supported by:
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.

Soft-sensing Design Based on Semiclosed-loop Framework^*

汤奇峰¹, 李德伟¹, 席裕庚¹, 尹德斌²

1. Department of Automation, Shanghai Jiao Tong University, Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai 200240, China;
2. Shanghai Xinhua Control Technology (Group) Co., Ltd, Shanghai 200241, China

通讯作者: LI Dewei,E-mail:dwli@sjtu.edu.cn
基金资助:
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.

Abstract

Abstract: 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.

Key words: soft-sensing, neural network, semiclosed-loop framework

摘要： 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.

关键词: soft-sensing, neural network, semiclosed-loop framework

TANG Qifeng, LI Dewei, XI Yugeng, YIN Debin. Soft-sensing Design Based on Semiclosed-loop Framework^*[J]. Chin.J.Chem.Eng., 2012, 20(6): 1213-1218.

汤奇峰, 李德伟, 席裕庚, 尹德斌. Soft-sensing Design Based on Semiclosed-loop Framework^*[J]. Chinese Journal of Chemical Engineering, 2012, 20(6): 1213-1218.

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Soft-sensing Design Based on Semiclosed-loop Framework^*

Soft-sensing Design Based on Semiclosed-loop Framework^*

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