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《中国化学工程学报(英文版)》 2012-06
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Soft-sensing Design Based on Semiclosed-loop Framework

TANG Qifeng1, LI Dewei 1,XI Yugeng 1 and YIN Debin 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  
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.
【Fund】: 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 forProcess Industries
【CateGory Index】: TP274
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