Force Tracking Control of Vehicle Vibration with MR-Dampers
Bibliographic record
Abstract
A semi-active force tracking control strategy is formulated to realize variable and asymmetric damping of an MR damper. A modified "on-off" control law is devised using an inverse model of a MR-damper incorporating hysteretic damping properties. An asymmetric current and thus force generating algorithm is further developed and integrated within the controller to realize asymmetric damping properties in a continuous manner from the symmetric damper design. The performance characteristics of the proposed force-tracking semi-active control are evaluated to study the ride vibration attenuation of a quarter-vehicle model using different damper force gains. The ride performance potentials of the proposed semi-active MR-suspension system are further evaluated under varying vehicle loads and speeds under harmonic excitations in the 0.5-15 Hz range. The results show that the MR-damper with proposed semi-active force tracking control could track the target force reasonably well in a continuous manner and provide improve attenuation of road-induced vibration
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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) | 0.000 | 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 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".