Active Control of Configuration-Dependent Linkage Vibration with Application to a Planar Parallel Platform
Bibliographic record
Abstract
A new lightweight planar parallel platform aims to greatly improve operational speed of electronic manufacturing process and to realize a “smart parallel platform” through the integration of a parallel mechanism architecture, new sensing techniques and active vibration control using Lead Zirconate Titanate (PZT) transducers. Experiments using an accelerometer, an impact hammer, and PZT transducers are performed to accomplish Experimental Modal Analysis (EMA), which has not been thoroughly investigated on flexible mechanisms. Through EMA, vibration characteristics of flexible linkages, when the platform is stationary and in motion, are modeled, with configuration-dependent vibration observed. Based on assumptions made in EMA, a modal control strategy using constant mode shapes is designed to control configuration-dependent linkage vibration. Active vibration control experimental results, showing a 40%-50% reduction of vibration amplitudes, validate the effectiveness of the control strategy. This control strategy will be generalized to achieve configuration-dependent vibration control, hence realizing a true smart parallel platform.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".