Prediction model of slurry pH based on mechanism and error compensation for mineral flotation process

doi:10.1016/j.cjche.2018.06.012

Chinese Journal of Chemical Engineering ›› 2018, Vol. 26 ›› Issue (8): 1766-1772.DOI: 10.1016/j.cjche.2018.06.012

• Selected Papers from the 28th Chinese Process Control Conference • 上一篇

Prediction model of slurry pH based on mechanism and error compensation for mineral flotation process

Xiaoli Wang, Lei Huang, Chunhua Yang

School of Information Science and Engineering, Central South University, Changsha 410083, China

收稿日期:2017-10-30 修回日期:2018-02-02 出版日期:2018-08-28 发布日期:2018-09-21
通讯作者: Xiaoli Wang,E-mail address:xlwang@csu.edu.cn
基金资助:
Supported by the National Natural Science Foundation of China (61673401), the Foundation for Innovative Research Groups of the National Natural Science Foundation of China (61621062), the Fundamental Research Funds for the Central Universities of Central South University (2016zzts343).

Prediction model of slurry pH based on mechanism and error compensation for mineral flotation process

Xiaoli Wang, Lei Huang, Chunhua Yang

School of Information Science and Engineering, Central South University, Changsha 410083, China

Received:2017-10-30 Revised:2018-02-02 Online:2018-08-28 Published:2018-09-21
Contact: Xiaoli Wang,E-mail address:xlwang@csu.edu.cn
Supported by:
Supported by the National Natural Science Foundation of China (61673401), the Foundation for Innovative Research Groups of the National Natural Science Foundation of China (61621062), the Fundamental Research Funds for the Central Universities of Central South University (2016zzts343).

摘要/Abstract

摘要： A suitable pH value of the slurry is a key to efficient mineral flotation. Considering the control delay problem of pH value caused by offline pH measurement, an integrated prediction model for pH value in bauxite froth flotation is proposed, which considers the effect of ore compositions on pH value. Firstly, a regression model is obtained for alkali (Na₂CO₃) consumed by the reaction between ore and alkali. According to the first-order hydrolysis of the remaining alkali, a mechanism-based prediction model is presented for the pH value. Then, considering the complexity of the flotation mechanism, an error prediction model which uses time series of the error of the mechanism model as inputs is presented based on autoregressive moving average (ARMA) method to compensate the mechanism model. Finally, expert rules are established to correct the error compensation direction, which could reflect the dynamic changes during the process accurately and effectively. Simulation results using industrial data show that the presented model meets the needs of the industrial process, which laid the foundation for predictive control of pH regulator.

关键词: Froth flotation, PH value prediction, Hydrolysis, Mechanism model, ARMA, Expert rule

Abstract: A suitable pH value of the slurry is a key to efficient mineral flotation. Considering the control delay problem of pH value caused by offline pH measurement, an integrated prediction model for pH value in bauxite froth flotation is proposed, which considers the effect of ore compositions on pH value. Firstly, a regression model is obtained for alkali (Na₂CO₃) consumed by the reaction between ore and alkali. According to the first-order hydrolysis of the remaining alkali, a mechanism-based prediction model is presented for the pH value. Then, considering the complexity of the flotation mechanism, an error prediction model which uses time series of the error of the mechanism model as inputs is presented based on autoregressive moving average (ARMA) method to compensate the mechanism model. Finally, expert rules are established to correct the error compensation direction, which could reflect the dynamic changes during the process accurately and effectively. Simulation results using industrial data show that the presented model meets the needs of the industrial process, which laid the foundation for predictive control of pH regulator.

Key words: Froth flotation, PH value prediction, Hydrolysis, Mechanism model, ARMA, Expert rule

Xiaoli Wang, Lei Huang, Chunhua Yang. Prediction model of slurry pH based on mechanism and error compensation for mineral flotation process[J]. Chinese Journal of Chemical Engineering, 2018, 26(8): 1766-1772.

Xiaoli Wang, Lei Huang, Chunhua Yang. Prediction model of slurry pH based on mechanism and error compensation for mineral flotation process[J]. Chin.J.Chem.Eng., 2018, 26(8): 1766-1772.

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Prediction model of slurry pH based on mechanism and error compensation for mineral flotation process

Prediction model of slurry pH based on mechanism and error compensation for mineral flotation process

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