Control Improvement Using MPC: A Case Study of pH Control for Brine Dechlorination
This paper describes a case study carried out to quantify the benefits achieved from the application of model predictive control (MPC) to regulate the pH in a brine dechlorination process. A mechanistic model of the process was developed and used to design a PI controller with feedforward compensati...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
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Institute of Electrical and Electronics Engineers (IEEE)
2020
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| Online Access: | https://hdl.handle.net/1721.1/124435 |
| _version_ | 1811096912422502400 |
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| author | Sha'Aban, Yusuf A Tahir, Furqan Masding, Philip W. Mack, John Lennox, Barry |
| author2 | Massachusetts Institute of Technology. Center for International Studies |
| author_facet | Massachusetts Institute of Technology. Center for International Studies Sha'Aban, Yusuf A Tahir, Furqan Masding, Philip W. Mack, John Lennox, Barry |
| author_sort | Sha'Aban, Yusuf A |
| collection | MIT |
| description | This paper describes a case study carried out to quantify the benefits achieved from the application of model predictive control (MPC) to regulate the pH in a brine dechlorination process. A mechanistic model of the process was developed and used to design a PI controller with feedforward compensation. The model was also used to quantify the potential benefits of commissioning an MPC controller on the process. Following the analysis with the mechanistic model, the designed MPC scheme was applied to the actual process. Through real-time results, it is shown that the deployment of this controller led to substantial improvements in disturbance rejection capabilities when compared to the existing PI controller with lead- lag feedforward compensator. The improved disturbance rejection led to a reduction in pH variation which resulted in reduced operational costs, more reliable production, and improvement in the efficiency of the dechlorination process. |
| first_indexed | 2024-09-23T16:51:20Z |
| format | Article |
| id | mit-1721.1/124435 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T16:51:20Z |
| publishDate | 2020 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/1244352022-09-29T21:56:12Z Control Improvement Using MPC: A Case Study of pH Control for Brine Dechlorination Sha'Aban, Yusuf A Tahir, Furqan Masding, Philip W. Mack, John Lennox, Barry Massachusetts Institute of Technology. Center for International Studies This paper describes a case study carried out to quantify the benefits achieved from the application of model predictive control (MPC) to regulate the pH in a brine dechlorination process. A mechanistic model of the process was developed and used to design a PI controller with feedforward compensation. The model was also used to quantify the potential benefits of commissioning an MPC controller on the process. Following the analysis with the mechanistic model, the designed MPC scheme was applied to the actual process. Through real-time results, it is shown that the deployment of this controller led to substantial improvements in disturbance rejection capabilities when compared to the existing PI controller with lead- lag feedforward compensator. The improved disturbance rejection led to a reduction in pH variation which resulted in reduced operational costs, more reliable production, and improvement in the efficiency of the dechlorination process. 2020-03-30T20:43:25Z 2020-03-30T20:43:25Z 2018-03 Article http://purl.org/eprint/type/JournalArticle 2169-3536 https://hdl.handle.net/1721.1/124435 Sha’aban, Yusuf A. et al. "Control Improvement Using MPC: A Case Study of pH Control for Brine Dechlorination." IEEE Access 6 (March 2018): 13418 - 13428 © 2018 IEEE http://dx.doi.org/10.1109/access.2018.2810813 IEEE Access Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) IEEE |
| spellingShingle | Sha'Aban, Yusuf A Tahir, Furqan Masding, Philip W. Mack, John Lennox, Barry Control Improvement Using MPC: A Case Study of pH Control for Brine Dechlorination |
| title | Control Improvement Using MPC: A Case Study of pH Control for Brine Dechlorination |
| title_full | Control Improvement Using MPC: A Case Study of pH Control for Brine Dechlorination |
| title_fullStr | Control Improvement Using MPC: A Case Study of pH Control for Brine Dechlorination |
| title_full_unstemmed | Control Improvement Using MPC: A Case Study of pH Control for Brine Dechlorination |
| title_short | Control Improvement Using MPC: A Case Study of pH Control for Brine Dechlorination |
| title_sort | control improvement using mpc a case study of ph control for brine dechlorination |
| url | https://hdl.handle.net/1721.1/124435 |
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