Real-Time Optimization
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Beschreibung
Process optimization is the method of choice for improving the performance of industrial processes, while enforcing the satisfaction of safety and quality constraints. Long considered as an appealing tool but only applicable to academic problems, optimization has now become a viable technology. Real-time optimization integrates process measurements into the optimization framework. This way, process optimization does not rely exclusively on a (possibly inaccurate) process model but also on process information stemming from measurements.
This Special Issue on Real-Time Optimization includes both methodological and practical contributions. All seven methodological contributions deal with explicit schemes that repeat the optimization when new measurements become available. The methods covered include modifier adaptation, economic MPC and the two-step approach of parameter identification and numerical optimization. The six contributions that deal with applications cover various fields including refineries, well networks, combustion and membrane filtration.
Autor*in
Dominique Bonvin
Dominique Bonvin, PhD, is Director of the Automatic Control Laboratory of EPFL in Lausanne, Switzerland. He received his Diploma in Chemical Engineering from ETH Zürich and his Ph.D. degree from the University of California, Santa Barbara. He served as Dean of Bachelor and Master studies at EPFL between 2004 and 2011. His research interests include modeling, identification and optimization of dynamical systems.
Themen in »Real-Time Optimization«
Dynamic real-time optimization Economic MPC Extremum-seeking control Modifier-adaptation schemes NCO tracking Repeated identification and optimization Run-to-run optimization Self-optimizing control Static real-time optimization