Contrôle optimal en boucle fermée d’instabilités hydrodynamiques par identification de modèles réduits

AURÉLIEN HERVÉ, PhD Thesis

Keywords:

system identification, model reduction, flow control, fluid mechanics, non linear control, POD, ARX, ARMAX, NARMAX

Abstract:

This work aims at defining a low order modeling framework, in order to perform flow control. Two different flow configurations are introduced, that respectively represent a typical case of an amplifier flow and an oscillator flow. For both flows, system identification techniques along with a physical study of the flow are used in order to define a low order model that is suited for control purposes. An efficient closed loop control system is then built, and used to suppress the flow unsteadiness.

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