Data-Driven Selection of Actuators for Optimal Control of Airfoil Separation
Debraj Bhattacharjee, Bjoern Klose, Gustaaf B. Jacobs, and Maziar S., Hemati

TL;DR
This paper introduces a data-driven method to select optimal actuator locations for controlling airfoil separation by analyzing response data and flowfield dynamics, improving control efficiency.
Contribution
It presents a novel approach combining system realization and controllability analysis to identify optimal actuator sites for different control objectives on airfoils.
Findings
Optimal actuator location for lift differs from that for separation angle.
Flowfield modal analysis reveals different coherent structures benefit different control goals.
Method effectively identifies actuator locations using high-fidelity simulation data.
Abstract
We present a systematic approach for determining the optimal actuator location for separation control from input-output response data, gathered from numerical simulations or physical experiments. The Eigensystem Realization Algorithm is used to extract state-space descriptions from the response data associated with a candidate set of actuator locations. These system realizations are then used to determine the actuator location among the set that can drive the system output to an arbitrary value with minimal control effort. The solution of the corresponding minimum energy optimal control problem is evaluated by computing the generalized output controllability Gramian. We use the method to analyze high-fidelity numerical simulation data of the lift and separation-angle responses to a pulse of localized body-force actuation from six distinct locations on the upper surface of a NACA…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
