Modelling and control of the piezoelectric excitation of an automotive windshield for active noise cancellation
Bibliographic record
Abstract
In this thesis, a technique for implementing active noise control within an automotive vehicle is presented utilizing the actuation of a piezoelectrically driven windshield to create the anti-noise signal.The acoustic linearity of the power efficient speaker is also improved to match that of a traditional, high-performance cone speaker.With direct measurement of the corrupting noise signal impractical, a closed-loop feedback control system is designed to achieve both objectives simultaneously.Modelling of the plant dynamics is carried out by deterministic subspace identification on filtered empirical data of a laboratory apparatus which is scaled to match vehicular installations.A noise estimator, based on internal models of the system dynamics, generates a stream of synthetic noise measurements on which stochastic subspace identification is performed to produce periodically updated models of the plant disturbance.The spectral density estimate of the output disturbance is incorporated directly into H synthesis to identify an optimal feedback controller.Ambient highway noise and the window buffeting phenomenon, experienced by the driver-side passenger within the vehicle, are formulated and solved by independent optimization problems to maximize improvement of the passenger's acoustic experience.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".