Design and Development of a Multivariable Control for a Distillation System Using Fuzzy Logic
Most systems have several measurement variables to be controlled and several manipulated variables. Many traditional industrial processes are essentially multivariable nature boilers, blends, paper plants, distillation columns, chemical reactors, heat exchangers, steam distribution networks, air conditioning systems, etc. A unique phenomenon of these systems is the interaction occurring among their variables, so that an input affects several output variables, which can greatly hinder the design of the control system. This paper presents the design of a multivariable decoupledcontroller implementing fuzzy logic using the method of Mamdaniwith the MATLAB fuzzy toolbox. The previous, through the validation of the Multi-Input Multi-Output (MIMO) system of the binary distillation column are used for separating methanol and water. The results of simulation cases studied are presented.
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A. George, P. Riya, and M. Francis, “Model Reference Adaptive Control of Binary Distillation Column Composition using MIT Adaptive Mechanism,” vol. 4, no. 06, pp. 555–558, 2015.
Z. Abdullah, N. Aziz, and Z. Ahmad, “Nonlinear Modelling Application in Distillation Column,” Chem. Prod. Process Model., vol. 2, no. 3, Jan. 2007.
H. S. Truong, I. Ismail, and R. Razali, “Fundamental modeling and simulation of a binary continuous distillation column,” Intell. Adv. Syst. (ICIAS), 2010 Int. Conf., pp. 1–5, 2010.
R. Rahimi, M. H. Soodmand, M. Zivdar, A. Alborzi, and M. Rahmanian, “Modeling and Simulation of a Divided Wall Column for 1 , 3 Butadiene Purification,” vol. 12, no. 1, pp. 60–67, 2015.
C. Engineering, “Design of an Internal Model Controller for Binary Distillation Column Design of an Internal Model Controller,” no. Iceccn, pp. 666–669, 2013.
O. R. Anias, M. D. Rodríguez, V. R. Diez, and R. B. Prieto, “Aplicación de algoritmos de control clásico, adaptable y robusto a sistemas dinámicos de parámetros variables; Classic, adaptable and robust control algorithm application, to variant parameter dynamic system,” Ingeniería Energética, vol. 33, no. 3. pp. 184–195, 2012.
S. M. Delfín Prieto, “Control no lineal robusto para un sistema de rotor horizontal y cojinetes magnéticos activos.” 20-Jul-2014.
Z. Lu, W. Zhao, T. Yang, W. Guo, and J. Wang, “Research on the multivariable predictive functional control algorithm based on the state space equation,” 2015.
A. Diaz, K. Vergara, C. Botet, and R. Quiroga, “Análisis del control multivariable mediante lógica difusa de un sistema reactor-mezclador,” Prospectiva, 2011.
P. Mishra, V. Kumar, and K. P. S. Rana, “A fractional order fuzzy PID controller for binary distillation column control,” Expert Syst. Appl., vol. 42, no. 22, pp. 8533–8549, 2015.
J. De Canete and A. Garcia-Cerezo, “Object-oriented approach applied to ANFIS modeling and control of a distillation column,” Expert Syst. with …, 2013.
M. Omidvari, S. M. R. Lavasani, and S. Mirza, “Presenting of failure probability assessment pattern by FTA in Fuzzy logic (case study: Distillation tower unit of oil refinery process),” J. Chem. Heal. Saf., vol. 21, no. 6, pp. 14–22, 2014.
F. Barceló-Rico, J. M. Gozálvez-Zafrilla, J. L. Díez, and A. Santafé-Moros, “Modelling and control of a continuous distillation tower through fuzzy techniques,” Chem. Eng. Res. Des., vol. 89, no. 1, pp. 107–115, 2011.
I. Mehta, V. Singh, and D. V Gadre, “Simulation and Control of Binary Distillation Column Using XMOS Technology,” vol. 21, no. October, pp. 228–232, 2011.
S. Sivananaithaperumal and S. Baskar, “Design of multivariable fractional order PID controller using covariance matrix adaptation evolution strategy,” Arch. Control Sci., 2014.
S. Skogestad, “Modelling and Dynamic Simulation for Process Control: Issues in dynamic modelling using distillation as an example,” in Modelling and Optimization of Chemical Processes, 2001.
G. Valencia Palomo, “Aplicacion del Control Predictivo Multivariable a una Columna de Destilacion Binaria,” p. 152, 2006.
E. H. Mamdani, “Application of fuzzy algorithms for control of simple dynamic plant,” Proc. Inst. Electr. Eng., vol. 121, no. 12, p. 1585, Dec. 1974.
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