Improved Multi-model Predictive Control to Reject Very Large Disturbances on a Distillation Column
| Main Authors: | Wahid, Abdul; Universitas Indonesia, Ahmad, Arshad; Universiti Teknologi Malaysia |
|---|---|
| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Universitas Indonesia
, 2016
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| Subjects: | |
| Online Access: |
http://www.ijtech.eng.ui.ac.id/index.php/journal/article/view/3524 http://www.ijtech.eng.ui.ac.id/index.php/journal/article/view/3524/615 http://www.ijtech.eng.ui.ac.id/index.php/journal/article/downloadSuppFile/3524/1902 |
Daftar Isi:
- A multi model predictive control and proportional-integral controller switching (MMPCPIS) approach is proposed to control a nonlinear distillation column. The study was implemented on a multivariable nonlinear distillation column (Column A). The setpoint tracking and disturbance rejection performances of the proposed MMPCPIS were evaluated and compared to a proportional-integral (PI) controller and the hybrid controller (HC). MMPCPIS developed to overcome the HC’s limitation when dealing with very large disturbance changes (50%). MMPCPIS provided improvements by 27% and 31% of the ISE (integral of square error) for feed flow rate and feed composition disturbance changes, respectively, compared with the PI controller, and 24% and 54% of the ISE for feed flow rate and feed composition disturbance change, respectively, compared with HC.