Performance evaluation of adaptive based model predictive control for ethylene glycol production from dimethyl oxide hydrogenation
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Fakhrony Sholahudin Rohman
Abstract
Advance process control is a proven control and optimization technology delivering measurable and sustainable improvements in production yield, coupled with the added value of energy savings. In this work, an adaptive based model predictive control (aMPC) is developed and implemented to control the hydrogenation of dimethyl oxide to ethylene glycol (EG) in a plug flow reactor. The aMPC is compared with 3 other control schemes; proportional-integral (PI), decoupled PI (dPI) and linear model predictive control. The aim is to determine the reliability of aMPC in controlling the production rate and reactor temperature for an optimized hydrogenation reactor. The aspects compared include set point tracking, disturbance rejection and robustness test. The analysis concludes that the aMPC offers the best overall performance compared to the other control schemes.
Funding source: Universiti Sains Malaysia
Award Identifier / Grant number: Research University Grant (RUI) 203.PJKIMIA.801414
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: This study was supported by Universiti Sains Malaysia through Research University Grant (RUI) 203.PJKIMIA.8014146.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
Appendix A: State space model details
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Articles in the same Issue
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Articles in the same Issue
- Frontmatter
- Articles
- Size-dependent growth kinetics model for potassium chloride from seeded chloride solution
- Insights into kinetics and equilibrium of methylene blue adsorption onto β-cyclodextrin polymers
- Development of a new rotating photocatalytic reactor for the degradation of hazardous pollutants
- Promotional effects of cerium and titanium on NiMn2O4 for selective catalytic reduction of NO by NH3
- Sliding mode controller design based on simple closed loop set point experiment for higher order processes with dead time
- Performance evaluation of adaptive based model predictive control for ethylene glycol production from dimethyl oxide hydrogenation
- Experimental study on the combustion characteristics of blends of sugarcane bagasse, Nanning meager-lean coal and petroleum coke
- Ammoniacal leaching behavior and regularity of zinc ash
- Enhanced dual-DOF PI-PD control of integrating-type chemical processes
