Friction estimation in a planar electrohydraulic manipulator
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Bibliographic record
Abstract
An automated machine for industrial fish head cutting has been designed and built in our laboratory. A planar electrohydraulic manipulator is used to quickly move a sharp pneumatically actuated blade to its desired position. There are two lubricated metal guideways under the blade. The objective of this experimental investigation is to understand the nature of friction present in the system and corresponding effects. At first, a simple open-loop procedure is used to obtain the steady-state friction-velocity behavior at very low velocities. Online estimation of dynamic friction (in the closed-loop system) is considered afterwards. A nonlinear reduced-order observer, introduced in the literature, for simultaneous estimation of friction and velocity, is applied to the system. Experimental results indicate that this estimator does not work well. Thus, in its original form, it is not suitable. A modification is proposed herein, to obtain good performance. Experiments with the modified observer show satisfactory estimation of velocity and friction.
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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) | 0.000 | 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 it