Real-Time Optimization of a Research Morphing Laminar Wing in a Wind Tunnel
Bibliographic record
Abstract
This paper presents a new approach of real-time control of a morphing wing based on a coupled fluid-structure numerical model. The 2D extrados profile of an experimental laminar wing is morphed with the purpose to reduce drag, through extension of the laminar flow over the upper wing surface. As a first step, the active structure has been modeled, manufactured and experimentally tested under variable flow conditions in a subsonic wind tunnel (the Mach number ranges from 0.2 to 0.3 and the angle of attack from −1° to 2°). In this work, a real-time closed-loop control strategy is designed to find the optimum actuator strokes using an experimentally measured lift-to-drag ratio (feedback parameter). An extensive wind-tunnel characterization of the laminar wing prototype has been performed to design the algorithm and to set up the parameters. To calculate the initial strokes of the actuators and thus to accelerate the optimization procedure, a validated ANSYS-XFoil coupled fluid-structure numerical model is used. The robustness and efficiency of the developed real-time control system is tested under two flow conditions. The morphing wing performance obtained is slightly superior or similar to the open loop control approach proving the high performance of the numerical model. The proposed control strategy appears to be well suited to benefit from the complete morphing potential (according to the lift-to-drag ratio) of the wind tunnel prototype although higher feedback resolution is recommended from the numerical simulation algorithms.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".