Non-linear model based control of a propylene polymerization reactor

A modified generic model controller is developed and tested through a simulation study. The application involves model-based control of a propylene polymerization reactor in which the monomer conversion and melt index of the produced polymer are controlled by manipulating the reactor cooling water flow and the inlet hydrogen concentration. Non-linear control is designed using a simplified non-linear model, in order to demonstrate the robustness of the control approach for modeling errors. Two model parameters are updated online in order to ensure that the controlled process outputs and their predicted values track closely. The controller is the static inverse of the process model with setpoints of the measured process outputs converted to setpoints for some of the state variables.

[1]  Iqbal M. Mujtaba,et al.  On-line dynamic optimization and control strategy for improving the performance of batch reactors , 2005 .

[2]  R. Russell Rhinehart,et al.  Two simple methods for on-line incremental model parameterization , 1991 .

[3]  Babatunde A. Ogunnaike,et al.  Process Dynamics, Modeling, and Control , 1994 .

[4]  Costas Kravaris,et al.  Nonlinear control of a batch polymerization reactor: An experimental study , 1992 .

[5]  Thomas E Marlin,et al.  Process Control , 1995 .

[6]  S. Al-zahrani,et al.  Optimization and Control of Industrial Gas-Phase Ethylene Polymerization Reactors , 1998 .

[7]  John F. MacGregor,et al.  Nonlinear product property control in industrial gas‐phase polyethylene reactors , 1993 .

[8]  Brian Roffel,et al.  Hydrogen response in liquid propylene polymerization: Towards a generalized model , 2006 .

[9]  T. Crowley,et al.  On-line monitoring and control of a batch polymerization reactor , 1996 .

[10]  Pradeep B. Deshpande,et al.  Dynamic Matrix Control of an Ethylene−Propylene−Diene Polymerization Reactor , 1996 .

[11]  J.-P. Calvet,et al.  Model predictive control of an open-loop unstable train of polymerization reactors , 1994 .

[12]  J. Macgregor,et al.  On‐line inference of polymer properties in an industrial polyethylene reactor , 1991 .

[13]  M. Farza,et al.  Simple nonlinear observers for on-line estimation of kinetic rates in bioreactors , 1998, Autom..

[14]  C. Kiparissides Polymerization reactor modeling: A review of recent developments and future directions , 1996 .

[15]  James B. Rawlings,et al.  Target Linearization and Model Predictive Control of Polymerization Processes , 2003 .

[16]  Hans Schuler,et al.  Calorimetric-state estimators for chemical reactor diagnosis and control: review of methods and applications , 1992 .

[17]  A. J. Morris,et al.  Online optimizing control of molecular weight properties in batch free-radical polymerization reactors , 2002 .

[18]  Denis Dochain,et al.  IDENTIFICATION AND CONTROL OF AN INDUSTRIAL POLYMERISATION PROCESS , 2002 .

[19]  Masahiro Ohshima,et al.  Quality control of polymer production processes , 2000 .

[20]  William R. Cluett,et al.  On‐line nonlinear model‐based estimation and control of a polymer reactor , 1997 .

[21]  H. Hapoglu,et al.  Generalized predictive control of optimal temperature profiles in a polystyrene polymerization reactor , 1998 .

[22]  Gülay Özkan,et al.  Nonlinear control of polymerization reactor , 2001 .

[23]  B. Bequette,et al.  Product property and production rate control of styrene polymerization , 2002 .

[24]  Efstratios N. Pistikopoulos,et al.  Optimal grade transition and selection of closed-loop controllers in a gas-phase olefin polymerization fluidized bed reactor , 2003 .

[25]  Gilles Fevotte,et al.  An adaptive inferential measurement strategy for on-line monitoring of conversion in polymerization processes , 1996 .

[26]  Mohammad Shahrokhi,et al.  nonlinear temperature control of a batch suspension polymerization reactor , 2002 .

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

[28]  K. Westerterp,et al.  Liquid‐phase polymerization of propylene with a highly active catalyst , 1998 .