Multivariable model predictive control design of reactive distillation column for Dimethyl Ether production

Abdul Wahid, I. G.E.P. Putra

Research output: Contribution to journalConference articlepeer-review

8 Citations (Scopus)


Dimethyl ether (DME) as an alternative clean energy has attracted a growing attention in the recent years. DME production via reactive distillation has potential for capital cost and energy requirement savings. However, combination of reaction and distillation on a single column makes reactive distillation process a very complex multivariable system with high non-linearity of process and strong interaction between process variables. This study investigates a multivariable model predictive control (MPC) based on two-point temperature control strategy for the DME reactive distillation column to maintain the purities of both product streams. The process model is estimated by a first order plus dead time model. The DME and water purity is maintained by controlling a stage temperature in rectifying and stripping section, respectively. The result shows that the model predictive controller performed faster responses compared to conventional PI controller that are showed by the smaller ISE values. In addition, the MPC controller is able to handle the loop interactions well.

Original languageEnglish
Article number012018
JournalIOP Conference Series: Materials Science and Engineering
Issue number1
Publication statusPublished - 6 Apr 2018
Event3rd International Conference on Chemical Engineering Sciences and Applications 2017, ICChESA 2017 - Banda Aceh, Indonesia
Duration: 20 Sep 201721 Sep 2017

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