Encyclopedia of Systems and Control

2015 Edition
| Editors: John Baillieul, Tariq Samad

Model-Based Performance Optimizing Control

Reference work entry
DOI: https://doi.org/10.1007/978-1-4471-5058-9_244

Abstract

In many applications, e.g., in chemical process control, the purpose of control is to achieve an optimal performance of the controlled system despite the presence of significant uncertainties about its behavior and of external disturbances. Tracking of set points is often required for lower-level control loops, but at the system level in most cases, this is not the primary concern and may even be counterproductive. In this entry, the use of dynamic online optimization on a moving finite horizon to realize optimal system performance is discussed. By real-time optimization, a performance-oriented or economic cost criterion is minimized or maximized over a finite horizon while the usual control specifications enter as constraints but not as set points. This approach integrates the computation of optimal set-point trajectories and of the regulation to these trajectories.

Keywords

Model-predictive control (MPC) Integrated optimization and control Real-time optimization (RTO) Performance optimizing control Process control 
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Copyright information

© Springer-Verlag London 2015

Authors and Affiliations

  1. 1.Fakultät Bio- und ChemieingenieurwesenTechnische Universität DortmundDortmundGermany