Process Control and Optimization Consortium

 Updated: 06/27/05 06:19 PM     

 

Batch Reactor Control Using a Multiple Model-based Controller Design

Authors:

Arun Krishnan and Karlene A. Hoo

Department of Chemical Engineering, University of South Carolina, Columbia, SC

ABSTRACT

This work presents the development of a model-based controller design called Multiple Model Predictive Control (MMPC) based on a set of linear, time-varying, state space models to regulate batch processes according to multiple, pre-specified reference profiles. Sufficient conditions for stability and boundedness of the dynamic evolution of the forced nonlinear system are provided. The performance of the MMPC design is demonstrated on a model of a batch reactor that represents the production of a polymer product.

Publication Information: THE CANADIAN JOURNAL OF CHEMICAL ENGINEERING, Vol. 76, 1998. 

Corresponding Author:    Karlene A. Hoo

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