Abstract
Open- and closed-loop control of a turbulent mixing layer is experimentally performed in a dedicated large scale, low speed wind-tunnel facility. The flow is manipulated by an array of fluidic micro-valve actuators integrated into the trailing edge of a splitter plate. Sensing is performed using a rake of hot-wire probes downstream of the splitter plate in the mixing layer. The control goal is the manipulation of the local fluctuating energy level. The mixing layer’s response to the control is tested with open-loop forcing with a wide range of actuation frequencies. Results are discussed for different closed-loop control approaches, such as: adaptive extremum-seeking and in-time POD mode feedback control. In addition, we propose Machine Learning Control (MLC) as a model-free closed-loop control method. MLC arrives reproducibly at the near-optimal in-time control.
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Carine Fourment and Joel Delville: Deceased 11 July 2014.
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Parezanović, V., Laurentie, JC., Fourment, C. et al. Mixing Layer Manipulation Experiment. Flow Turbulence Combust 94, 155–173 (2015). https://doi.org/10.1007/s10494-014-9581-1
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DOI: https://doi.org/10.1007/s10494-014-9581-1