Control of a Three-Degree-of-Freedom Variable Inertia Generator
Bibliographic record
Abstract
This paper explores the control of a three-degreeof-freedom ungrounded rotational inertia\ngenerator that leverages the gyroscopic effect to render a prescribed inertia. A kinematic model is first\nestablished to identify the source of the instability observed with a previous version of the control\nsystem of the device. To address this instability issue, a novel control approach is then introduced and\nexperimentally validated. Experiments are conducted in which a user actively rotates the device with\nprescribed simulated inertias that are set to 1, 2, 3 and 3.5 times the device's actual total inertia. In\nthe experiments, the flywheels of the device are given an initial velocity of 105 rad/s in order to take\nadvantage of the gyroscopic effect to render the proper inertia to the user. While this paper outlines the\ncapability of the ungrounded device to render a prescribed inertia, it ultimately presents the continuous\ncontrol of a double gimbal gyroscope that is physically limited by its joints.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".