A Robust Autoparametrically Excited Angular Rate Sensor
Bibliographic record
Abstract
We report, for the first time, a robust angular rate sensor that is operated at 2:1 Autoparametric Resonance (AR) with a wide frequency bandwidth at 3dB amplitude drop of 320.7 Hz. The sensor utilizes inherent forcing and inertial or elastic nonlinearities arising from electrostatic forces and fabrication imperfections respectively, to excite the sense mode via 2:1 AR causing a wider frequency response of the sense mode. The sensor is actuated electrostatically, and its output is sensed using variable gap capacitive electrodes. The sensor is tested on a rate table and a maximum scale factor of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$38.99\ \mu \mathrm{V}/^{\circ}/\mathrm{s}$</tex> with a full-scale nonlinearity of 1.2%, dynamic range of ±270 °/s, and noise density of 0.042 °/s/√Hz are measured.
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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) | 0.011 | 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".