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Friday, October 4, 2019 at 12:15pm
Aircraft noise is a key environmental concern for communities in the proximity of airports. Apart from being the source of severe nuisance and sleep disruption, aircraft noise has been linked to increasing risk for cardiovascular disease in segments of the affected population. While the engines remain the major source of noise in an aircraft, at low altitude and low speeds a very significant role is played by aerodynamic noise generated by airflow over the fuselage. During landing, when the engines operate at reduced power, a prominent source of aerodynamic noise is located at the landing gear bay, due to the occurrence of self-sustained oscillations in a resonant cavity. Suppressions of these oscillations would result in a significant reduction of overall aircraft noise during landing. In this talk, we summarize the research activity of the Gas Dynamics and Turbulence Lab at The Ohio State University that has been devoted to the design and experimental evaluation of model-based feedback controllers for suppressing subsonic cavity resonance. Proper orthogonal decomposition and Galerkin projection techniques were used to obtain a reduced-order model of the flow dynamics from experimental data. The model was made amenable to control design by means of an optimization-based control separation technique, which makes the control input appear explicitly in the equations. An adaptive feedback controller was then employed to suppress the cavity tones from pressure measurements. Experimental results, in qualitative agreement with the theoretical analysis, showed that the controller achieves a significant attenuation of the resonant tone with a redistribution of the energy into other frequencies. The benefits of parameter adaptation over controllers of fixed structure under varying or uncertain flow conditions were also demonstrated experimentally. Finally, an outlook into application of closed-loop strategies for jet noise mitigation is offered.
Andrea Serrani received the Ph.D. degree in artificial intelligence systems from the University of Ancona, Italy, in 1997 and the D.Sc. degree in systems science and mathematics from Washington University in Saint Louis in 2000. Since 2002, he has been with the Department of Electrical and Computer Engineering at The Ohio State University, where he is currently a professor and associate chair.
His research activity spans the fields of control and systems theory, with emphasis on nonlinear and adaptive control, tracking and regulation, and application to aerospace and automotive systems. His latest interests include modeling and control of flapping-wing micro-air vehicles, control of multi-actuated powertrain systems, and guidance and control of hypersonic vehicles.
He is the author of more than 150 journal and conference publications, and the co-author (with A. Isidori and L. Marconi) of the book Robust Autonomous Guidance - An Internal Model Approach, published by Springer Verlag. Prof. Serrani serves as the editor-in-chief of the IEEE Transactions on Control Systems Technology, and as an associate editor the IEEE CSS and IFAC Conference Editorial Boards. He is a past associate editor for Automatica and the International Journal of Robust and Nonlinear Control. He was the program chair of the 2019 American Control Conference and the general co-chair for the 2022 IEEE Conference on Decision and Control.