Real-Time Estimation in a Turbulent Jet Using Multiple-Input-Multiple-Output Transfer Functions

• Main Author: Maia, Igor Albuquerque
• Publication Date: 2019
• Other Authors: Jordan, Peter, Silva, Eduardo Martini Rodrigues da, Cavalieri, André Valdetaro Gomes, Towne, Aaron, Lesshafft, Lutz, Schmidt, Oliver
• Format: Conference object
• Language: por
• Source: Repositório Institucional da Universidade Federal do Ceará (UFC)
• dARK ID: ark:/83112/001300000fnrc
• Download full: https://hal.archives-ouvertes.fr/hal-02378532; http://www.repositorio.ufc.br/handle/riufc/62035
• topic: Control of fluid systems; Input-output analysis; Multiple-input, multiple-output (MIMO)

In this work we investigate the use of multiple-input, multiple-output (MIMO) transfer functions obtained empirically from a large-eddy simulation of a turbulent jet. We compare the MIMO performance with single-input-single-output (SISO) transfer functions used in previous studies. The choice of sensor placement has been made based on results of linear stability analysis from the literature. The results show that MIMO transfer functions improve on SISO results where both single- and two-point statistics are concerned. It is also found that the number of sensors necessary to converge the estimates depends strongly on Strouhal number.