Novel Transmissibility Shaping Control for Regenerative Vehicle Suspension Systems
Bibliographic record
Abstract
This research proposes a novel transmissibility shaping control (T-shaping Control) method and explores its potential performance benefits for active vehicle suspension systems with energy-regeneration [1]. The proposed model-free T-shaping control integrates a range of sub-strategies based on the frequency information extracted from measured dynamic signals. Each strategy is designed to function dominantly in a certain frequency range to achieve a desirable (or optimal) transmissibility of vehicle responses for enhanced vehicle dynamic performance and safety. Different sub-strategies employed for different frequency ranges consist of stiffness control, skyhook control, groundhook control, and variable damping. In order to demonstrate the effectiveness of this proposed control method, a novel tunable compressible fluid strut (CFS) integrating with digital displacement pump motor (DDPM) is used to form an energy-regenerative controllable vehicle suspension system [2–4]. Two vehicle models, including quarter-car and full-vehicle models, are employed to investigate the dynamic performance of a road vehicle with the proposed T-shaping control and novel regenerative suspension system. The results demonstrate the effectiveness and considerable performance enhancements of the proposed novel T-shaping control applied to the novel CFS suspension system in a very energy-efficient manner.
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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".