387b Parameter Estimation and Output Feedback Nonlinear Model Predictive Control of an Industrial Batch Polymerization System
نویسندگان
چکیده
Industrial Batch Polymerization System Zoltan K. Nagy, Ruediger Franke, Bernd Mahn, and F. Allgoewer Nowadays chemical and related processing industries are faced with the need of increasingly precise control of product properties to meet specific demands. It is recognized that nonlinear model predictive control (NMPC) is an excellent candidate as a key enabling technology for the continued success of the chemical industries. However, NMPC has found successful application in a limited number of mainly academic example cases to date [1]. The main objective of the presented project is to fill the gap between the academic results and the industrial potential of NMPC, and to provide a balanced assessment of the advantages and difficulties related to the implementation of this control strategy in an industrial framework. Of particular interest will be on finite time processes since they play a significant role in the production of most modern high-value added products [2,3], and represent specific control problems.
منابع مشابه
Nonlinear Model Predictive Control of Batch Processes: an Industrial Case Study
Batch processes play a significant role in the production of most modern highvalue added products. The paper illustrates the benefits of nonlinear model predictive control (NMPC) for the setpoint tracking control of an industrial batch polymerization reactor. Real-time feasibility of the on-line optimization problem from the NMPC is achieved using an efficient multiple shooting algorithm. A rea...
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