4.7 Article

Optimal sensor and actuator placement for feedback control of vortex shedding

Journal

JOURNAL OF FLUID MECHANICS
Volume 932, Issue -, Pages -

Publisher

CAMBRIDGE UNIV PRESS
DOI: 10.1017/jfm.2021.948

Keywords

control theory; vortex shedding; vortex instability

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This study focuses on linear feedback control of two-dimensional flow past a cylinder at low Reynolds numbers, specifically looking at the optimal placement of a single sensor and a single actuator. By calculating the leading resolvent forcing and response modes of the flow, H-2-optimal estimators and controllers are designed. The research investigates optimal estimation, full-state information control, and overall feedback control, highlighting the importance of sensor and actuator placements in determining feedback control performance under varying Reynolds numbers.
We consider linear feedback control of the two-dimensional flow past a cylinder at low Reynolds numbers, with a particular focus on the optimal placement of a single sensor and a single actuator. To accommodate the high dimensionality of the flow, we compute its leading resolvent forcing and response modes to enable the design of H-2-optimal estimators and controllers. We then investigate three control problems: (i) optimal estimation (OE) in which we measure the flow at a single location and estimate the entire flow; (ii) full-state information control (FIC) in which we measure the entire flow but actuate at only one location; and (iii) the overall feedback control problem in which a single sensor is available for measurement and a single actuator is available for control. We characterize the performance of these control arrangements over a range of sensor and actuator placements and discuss implications for effective feedback control when using a single sensor and a single actuator. The optimal sensor and actuator placements found for the OE and FIC problems are also compared with those found for the overall feedback control problem over a range of Reynolds numbers. This comparison reveals the key factors and conflicting trade-offs that limit feedback control performance.

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