Hierarchical economic NMPC for a class of hybrid systems using neighboring-extremal updates

Inga J. Wolf, Diego Munoz, Moritz Schmitz, Wolfgang Marquardt

Producción científica: Capítulo del libro/informe/acta de congresoPonencia publicada en las memorias del evento con ISBNrevisión exhaustiva

1 Cita (Scopus)

Resumen

A two-layer control algorithm is developed for a class of hybrid (discrete-continuous dynamic) systems comprising important applications such as the economically optimal operation of recipe-driven batch or continuous processes. On the upper layer, the economic optimal control problem is solved rigorously by a slow controller at a low sampling rate, whereas a fast neighboring-extremal controller updates rather than tracks the optimal trajectories to account for disturbances. Consequently, the process is steered to its operational bounds, while the optimal switching times under disturbances can be determined such that the economic potential of the process is fully exploited anytime.
Idioma originalInglés
Título de la publicación alojada8th International Symposium on Advanced Control of Chemical Processes, ADCHEM 2012
EditorialIFAC Secretariat
Páginas561-566
Número de páginas6
ISBN (versión impresa)9783902823052
DOI
EstadoPublicada - 2012
Evento8th International Symposium on Advanced Control of Chemical Processes, ADCHEM 2012 - Singapore, Singapur
Duración: 10 jul. 201213 jul. 2012

Serie de la publicación

NombreIFAC Proceedings Volumes (IFAC-PapersOnline)
NúmeroPART 1
Volumen8
ISSN (versión impresa)1474-6670

Conferencia

Conferencia8th International Symposium on Advanced Control of Chemical Processes, ADCHEM 2012
País/TerritorioSingapur
CiudadSingapore
Período10/07/1213/07/12

Palabras clave

  • Dynamic real-time optimization
  • Economic nonlinear model-predicitive control
  • Hierarchical control
  • Hybrid systems
  • Neighboring-extremal control
  • arametric sensitivity analysis
  • Scheduling

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