Model Predictive Control of Continuous Stirred-Tank Reactor

Article Preview

Abstract:

This paper is concerns with the study of model predictive control of continuous stirred-tank reactor (CSTR). Firstly, a nonlinear mechanical model is established for a typical CSTR. Based on mass balance and energy balance, a set of ordinary differential equations are derived. Then, the model is linearized at steady-state point to obtain state space model, which is used in model predictive control (MPC). Finally, MPC strategy is applied, controller parameters and process constrains are discussed.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 760-762)

Pages:

1000-1003

Citation:

Online since:

September 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] G. Stephanopoulos. Chemical process control: an introduction to theory and practice, Prentice-Hall INC, Englewood Cliffs, (1984).

Google Scholar

[2] B.W. Bequette. Process control: modeling, design, and simulation, Prentice-Hall, (2003).

Google Scholar

[3] S.J. Qin, T.A. Bedgwell. A survey of industrial model predictive control technology. Control Engineering Practice, 2003, 11: 733-764.

DOI: 10.1016/s0967-0661(02)00186-7

Google Scholar

[4] Allgöwer, F. & Zheng, A. Nonlinear model predictive conrol, 2000, Birkhäuser.

Google Scholar

[5] K.R. Muske, T.A. Badgwell. Disturbance modeling for offset-free linear model predictive control. Journal of Process Control, 2002, 12: 617-632.

DOI: 10.1016/s0959-1524(01)00051-8

Google Scholar

[6] D.Q. Mayne, J.B. Rawlings, C.V. Rao. Constrained model predictive control: stability and optimality. Automatica, 2000, 36: 789-814.

DOI: 10.1016/s0005-1098(99)00214-9

Google Scholar