Comparative Study of Different Cascade Control Configurations for a Multiproduct Semibatch Polymerization Reactor

The present study focuses on the development of different cascade control configurations for temperature control of a multiproduct semibatch polymerization reactor. The master controller regulates the reactor temperature by manipulating the mean cooling jacket temperature, whereas the slave controller manipulates the valve opening to control the mean jacket temperature. The configurations explored are based on generic model control (GMC) and proportional integral (PI) control. The effects of different controller tuning parameters are evaluated. The effect of other unmeasured and measured disturbances, i.e., impurity factor, monomer feed flow rate, and presence of measurement noise on control performance, is evaluated for two products A and B. GMC–GMC has shown better controller performance in terms of temperature tracking with minimum root-mean-square output deviation (RMSOD) values as well as minimum normalized root-mean-square input deviation (NRMSID) values from the nominal input value, compared to GMC...

[1]  Sachin C. Patwardhan,et al.  Data-Driven Model Based Control of a Multi-Product Semi-Batch Polymerization Reactor , 2007 .

[2]  N Pappa,et al.  Design of a self-tuning regulator for temperature control of a polymerization reactor. , 2012, ISA transactions.

[3]  K. Yamuna Rani,et al.  Sensitivity compensating nonlinear control: Exact model based approach , 2012 .

[4]  K. Yamuna Rani,et al.  Sensitivity Compensating Control: Data-driven model based adaptive approach , 2011 .

[5]  Jay H. Lee,et al.  ITERATIVE LEARNING CONTROL APPLIED TO BATCH PROCESSES: AN OVERVIEW , 2006 .

[6]  Veit Hagenmeyer,et al.  Feedforward control with online parameter estimation applied to the Chylla–Haase reactor benchmark , 2006 .

[7]  D. Wang,et al.  Adaptive generalized generic model control and stability analysis , 2003, Comput. Chem. Eng..

[8]  J. Macgregor,et al.  Nonlinear adaptive temperature control of multi-product, semi-batch polymerization reactors , 1995 .

[9]  T. Binder,et al.  Dynamic optimization using a wavelet based adaptive control vector parameterization strategy , 2000 .

[10]  Mazen Alamir,et al.  Multivariable control of the polymer molecular weight in emulsion polymerization processes , 2011 .

[11]  Arthur Jutan,et al.  Experimental evaluation of predictive temperature control for a batch reactor system , 2000, IEEE Trans. Control. Syst. Technol..

[12]  Arthur Jutan,et al.  Nonlinear adaptive control for multivariable chemical processes , 2001 .

[13]  J. G. Ziegler,et al.  Optimum Settings for Automatic Controllers , 1942, Journal of Fluids Engineering.

[14]  Amiya K. Jana,et al.  Globally linearized control system design of a constrained multivariable distillation column , 2005 .

[15]  Prashant Mhaskar,et al.  Robust model predictive control and fault handling of batch processes , 2011 .

[16]  Thomas F. Edgar.  An improved generic model control algorithm for linear systems , 1996 .

[17]  R. Chylla,et al.  Temperature control of semibatch polymerization reactors , 1993 .

[18]  K. Yamuna Rani,et al.  Adaptive generic model control : dual composition control of distillation , 1991 .

[19]  James Gomes,et al.  Simultaneous dissolved oxygen and glucose regulation in fed-batch methionine production using decoupled input-output linearizing control , 2009 .

[20]  Junghui Chen,et al.  Applying neural networks to on-line updated PID controllers for nonlinear process control , 2004 .

[21]  Donghua Zhou,et al.  Strong tracking filter based adaptive generic model control , 1999 .

[22]  G. R. Sullivan,et al.  Generic model control (GMC) , 1988 .

[23]  Amiya K. Jana,et al.  Nonlinear state estimation and control of a refinery debutanizer column , 2009, Comput. Chem. Eng..