Experimental evaluation of a backlash inverter as applied to a servomotor with gear train
Why this work is in the frame
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Bibliographic record
Abstract
Tao and Kokotovic (1993) documented a method to control systems with high backlash. A right inverse of the backlash effect was derived and applied, in both a fixed and an adaptive scheme, in simulation tests of the inverter's performance. The remits of the preliminary study were favourable, and these results were repeated in further simulation studies. This paper sets out to perform an experimental evaluation of the inverter's effectiveness, by attempting position control of a high-backlash servomotor gear train apparatus. Tests are performed with and without the inverter, using a generic model control (GMC) scheme, to evaluate the quantitative improvement attainable by applying the inverter. This examination concluded that the inverter's favourable simulation results could not be duplicated in practice. Further work is required.
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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) | 0.002 | 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 it