Proportional Integral Controller of Deisobutanizer Distillation Column by Co-simulate of Aspen Plus Dynamics and Matlab Simulink

Zahrotul Azizah


One of the control problems that is a challenge for an engineer and the chemical industry itself is chemical processes which are closely related to nonlinear processes. The linear method is the choice for many researchers to overcome problems in nonlinear processes, namely the linearization technique. This causes uncertainty whether the controller is able to work on the actual nonlinear process. The purpose of this study is to integrate Aspen Plus Dynamics and Matlab Simulink to eliminate linearization in order to be able to control nonlinear processes optimally. The method used is to perform steady state and continued dynamics simulation in the case study of the deisobutanizer distillation. Then integration of Aspen Plus Dynamics with Matlab Simulink using AMSimulink. The results show that steady-state and dynamics simulations have been successfully carried out. Aspen Plus Dynamics and Matlab Simulink are integrated and able to run together. The controllers used include reflux drum level control, top column pressure control, and reboiler level control. The response results obtained in the co-simulation run well, the process response can perform setpoint tracking.


AMSimulink; aspen plus dynamics; deisobutanizer; integration; matlab simulink

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B. W. Bequette, “Nonlinear Control of Chemical Processes: A Review,” Ind. Eng. Chem. Res., vol. 30, no. 7, hal. 1391–1413, 1991, doi: 10.1021/ie00055a001.

B. Hu, Z. Zhao, dan J. Liang, “Multi-loop nonlinear internal model controller design under nonlinear dynamic PLS framework using ARX-neural network model,” J. Process Control, vol. 22, no. 1, hal. 207–217, 2012, doi: 10.1016/j.jprocont.2011.09.002.

I. Díaz dan M. Rodríguez, On-line Fault Diagnosis by Combining Functional and Dynamic Modelling of Chemical Plants, vol. 33. Elsevier, 2014.

M. Rodríguez, P. Z. Li, dan I. Díaz, “A control strategy for extractive and reactive dividing wall columns,” Chem. Eng. Process. Process Intensif., vol. 113, hal. 14–19, 2017, doi: 10.1016/j.cep.2016.10.004.

A. Briones-Ramírez dan C. Gutiérrez-Antonio, “Multiobjective Optimization of Chemical Processes with Complete Models using MATLAB and Aspen plus,” Comput. y Sist., vol. 22, no. 4, hal. 1157–1170, 2018, doi: 10.13053/CyS-22-4-3087.

C. E. Degree dan A. E. Degree, “TRAINING COURSE IN SIMULATION OF CHEMICAL PROCESS Master thesis,” no. June, 2020.

P. Furda, M. Variny, Z. Labovská, dan T. Cibulka, “Process drive sizing methodology and multi-level modeling linking matlab® and aspen plus® environment,” Processes, vol. 8, no. 11, hal. 1–42, 2020, doi: 10.3390/pr8111495.

V. Sakhre, “Distillation - Modelling, Simulation and Optimization,” Distill. - Model. Simul. Optim., 2019, doi: 10.5772/intechopen.78212.

N. Siraj dan A. Hakim, “Steady-State and Dynamic Simulations of Gas Absorption Column Using MATLAB and SIMULINK,” Int. J. Math. Model. Comput., vol. 8, no. 3 (SUMMER), hal. 171–188, 2018,

D. Hartanto et al., “Simulation of the Extractive Distillation using Ethylene Glycol as an Entrainer in the Bioethanol Dehydration,” no. Eic 2018, hal. 450–454, 2020, doi: 10.5220/0009013004500454.

J. Chinprasit dan C. Panjapornpon, “Model predictive control of vinyl chloride monomer process by Aspen Plus Dynamics and MATLAB/Simulink co-simulation approach,” IOP Conf. Ser. Mater. Sci. Eng., vol. 778, no. 1, 2020, doi: 10.1088/1757-899X/778/1/012080.

S. Skogestad dan P. Lundström, “Mu-optimal LV-control of distillation columns,” Comput. Chem. Eng., vol. 14, no. 4–5, hal. 401–413, 1990, doi: 10.1016/0098-1354(90)87016-I.

J. A. Romagnoli, J. A. Romagnoli, A. Palazoglu, dan A. Palazoglu, Plantwide Process Control. 2020.

Totok R. Biyanto, “Internal Model Control (IMC) - Neural Network (NN) Gain Scheduling untuk Pengendalian Kolom Distilasi,” J. Tek. Elektro, vol. 5, no. 2, hal. 73–79, 2005,

W. L. Luyben, “Chemical Engineering and Processing : Process Intensification Design and control of dual condensers in distillation columns,” Chem. Eng. Process. Process Intensif., vol. 74, hal. 106–114, 2013, doi: 10.1016/j.cep.2013.08.007.

W. L. Luyben, Distillation Design and Control Using Aspen Simulation, Second Edi. Lehigh University, Bethlehem, Pennsylvania, 2013.

M. Syahmi dan K. Sham, “Design and Co-simulate control of an Extractive Distillation Column Using Aspen plus Dynamics with MATLAB and Simulink Toolbox Thesis Report,” 2016.

D. Seborg, T. Edgar, D. Mellicamp, dan F. Doyle III, “Process Dynamics and Control,” John Wiley Sons, hal. 595, 2011, doi: 10.1007/s13398-014-0173-7.2.



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