Dynamic modelling and predictive control for the sequential collaborative reactors of cobalt removal process under time‐varying conditions. (28th August 2019)
- Record Type:
- Journal Article
- Title:
- Dynamic modelling and predictive control for the sequential collaborative reactors of cobalt removal process under time‐varying conditions. (28th August 2019)
- Main Title:
- Dynamic modelling and predictive control for the sequential collaborative reactors of cobalt removal process under time‐varying conditions
- Authors:
- Wang, Yalin
Xue, Yongfei
Huang, Kaihua
Cen, Lihui - Abstract:
- Abstract : The accuracy of the process model directly affects the performance of the model‐based controller. In zinc hydrometallurgy, the overall dynamics of the cobalt removal process can hardly be described by a fixed model since there are a series of interconnected reactors working together under time‐varying inlet and reaction conditions. In this study, an interacting continuously stirred tank reactors (ICSTR) model is developed to describe the cooperative relationship of these cascaded reactors. Considering the time‐varying inlet and reaction conditions, the reaction surface conversion coefficient is defined and incorporated into the ICSTR model, and the kernel partial least squares (KPLS) is employed to update the dynamic model online. The effectiveness of the time‐varying ICSTR model is validated using industrial data. Based on the proposed time‐varying ICSTR model, a predictive controller is designed to realize the optimal operation of the cobalt removal process. Simulation results indicate that compared with conventional predictive control and manual manipulation, the time‐varying ICSTR model‐based predictive control method can not only maintain the outlet cobalt ion concentration but also reduce the zinc dust dosage. Abstract : The accuracy of the process model directly affects the performance of the model‐based controller. In zinc hydrometallurgy, the overall dynamics of the cobalt removal process can hardly be described by a fixed model since there are a seriesAbstract : The accuracy of the process model directly affects the performance of the model‐based controller. In zinc hydrometallurgy, the overall dynamics of the cobalt removal process can hardly be described by a fixed model since there are a series of interconnected reactors working together under time‐varying inlet and reaction conditions. In this study, an interacting continuously stirred tank reactors (ICSTR) model is developed to describe the cooperative relationship of these cascaded reactors. Considering the time‐varying inlet and reaction conditions, the reaction surface conversion coefficient is defined and incorporated into the ICSTR model, and the kernel partial least squares (KPLS) is employed to update the dynamic model online. The effectiveness of the time‐varying ICSTR model is validated using industrial data. Based on the proposed time‐varying ICSTR model, a predictive controller is designed to realize the optimal operation of the cobalt removal process. Simulation results indicate that compared with conventional predictive control and manual manipulation, the time‐varying ICSTR model‐based predictive control method can not only maintain the outlet cobalt ion concentration but also reduce the zinc dust dosage. Abstract : The accuracy of the process model directly affects the performance of the model‐based controller. In zinc hydrometallurgy, the overall dynamics of the cobalt removal process can hardly be described by a fixed model since there are a series of interconnected reactors working together under time‐varying inlet and reaction conditions. … (more)
- Is Part Of:
- Canadian journal of chemical engineering. Volume 97:Number 12(2019)
- Journal:
- Canadian journal of chemical engineering
- Issue:
- Volume 97:Number 12(2019)
- Issue Display:
- Volume 97, Issue 12 (2019)
- Year:
- 2019
- Volume:
- 97
- Issue:
- 12
- Issue Sort Value:
- 2019-0097-0012-0000
- Page Start:
- 3101
- Page End:
- 3114
- Publication Date:
- 2019-08-28
- Subjects:
- cobalt removal process -- ICSTR -- time‐varying parameters -- KPLS -- predictive control
Chemical engineering -- Periodicals
Technology -- Periodicals
660.05 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1939-019X/issues ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/cjce.23563 ↗
- Languages:
- English
- ISSNs:
- 0008-4034
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3030.900000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12125.xml