Harmonic control of vibration and sound radiation of a plate using a virtual impedance approach.
Bibliographic record
Abstract
The present work focuses on the harmonic control of plate vibration and radiation using distributed collocated piezoceramic units. The objective is to add virtual impedance units on the plate and to optimize its complex value for each frequency. In active damping (velocity feedback controllers), the added virtual impedance is equivalent to a resistive effect. In the present study, the added virtual impedance is chosen arbitrarily in the complex plane. Each added impedance unit is composed of a collocated PZT actuator and a PVDF sensor. This approach allows obtaining dual variables for harmonic control. In order to tune the PZT voltage at each frequency, the virtual impedance approach is implemented with a harmonic adaptive control. The stability is always ensured with a centralized processing, and for certain frequencies, a decentralized processing can be used. Preliminary theoretical study is carried out to assess the behavior of the smart panel for different added virtual impedances for a mechanical excitation by a shaker. Those numerical results are compared to experimental measurements performed in an anechoic chamber. Our proposed strategy compare favorably to common strategy of active damping to reduce harmonic sound radiation. Hence, a reduction of 20 dB can be achieved at certain frequencies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".