Estimation of catalytic activity using an unscented Kalman filtering in condensation reaction

doi:10.1016/j.cjche.2015.11.008

Chin.J.Chem.Eng. ›› 2015, Vol. 23 ›› Issue (12): 1965-1969.DOI: 10.1016/j.cjche.2015.11.008

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Estimation of catalytic activity using an unscented Kalman filtering in condensation reaction

Wentao Cang, Huizhong Yang

Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi 214122, China

Received:2015-05-19 Revised:2015-07-01 Online:2016-01-19 Published:2015-12-28
Contact: Huizhong Yang
Supported by:
Supported by the National Natural Science Foundation of China (60674092).

Estimation of catalytic activity using an unscented Kalman filtering in condensation reaction

Wentao Cang, Huizhong Yang

Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi 214122, China

通讯作者: Huizhong Yang
基金资助:
Supported by the National Natural Science Foundation of China (60674092).

Abstract

Abstract: The catalytic activity of cation exchange resins will be continuously reduced with its use time in a condensation reaction for bisphenol A (BPA). For online estimation of the catalytic activity, a catalytic deactivation model is studied for a production plant of BPA, state equation and observation equation are proposed based on the axial temperature distribution of the reactor and the acetone concentration at reactor entrance. A hybrid model of state equation is constructed for improving estimation precision. The unknown parameters in observation equation are calculated with sample data. The unscented Kalman filtering algorithm is then used for on-line estimation of the catalytic activity. The simulation results show that this hybrid model has higher estimation accuracy than the mechanism model and the model is effective for production process of BPA.

Key words: Unscented Kalman filtering, Catalyst deactivation, Soft sensor, Hybrid modeling

摘要： The catalytic activity of cation exchange resins will be continuously reduced with its use time in a condensation reaction for bisphenol A (BPA). For online estimation of the catalytic activity, a catalytic deactivation model is studied for a production plant of BPA, state equation and observation equation are proposed based on the axial temperature distribution of the reactor and the acetone concentration at reactor entrance. A hybrid model of state equation is constructed for improving estimation precision. The unknown parameters in observation equation are calculated with sample data. The unscented Kalman filtering algorithm is then used for on-line estimation of the catalytic activity. The simulation results show that this hybrid model has higher estimation accuracy than the mechanism model and the model is effective for production process of BPA.

关键词: Unscented Kalman filtering, Catalyst deactivation, Soft sensor, Hybrid modeling

Wentao Cang, Huizhong Yang. Estimation of catalytic activity using an unscented Kalman filtering in condensation reaction[J]. Chin.J.Chem.Eng., 2015, 23(12): 1965-1969.

Wentao Cang, Huizhong Yang. Estimation of catalytic activity using an unscented Kalman filtering in condensation reaction[J]. Chinese Journal of Chemical Engineering, 2015, 23(12): 1965-1969.

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Estimation of catalytic activity using an unscented Kalman filtering in condensation reaction

Estimation of catalytic activity using an unscented Kalman filtering in condensation reaction

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