Load sharing in V/F speed controlled multi-motor driven system under mechanical wheel-slippage
Bibliographic record
Abstract
In this paper a method is proposed for sharing the torques equally between the wheels of a gantry crane, driven by V/F controller, under wheel slippage. Induction Machines (IM's) are used for driving the wheels of the gantry crane. These motors are controlled by Volts/Hertz controller. Over time the adhesion between the wheels and the rails decreases because of wear-out. Water or oil spillage, etc. also results in sudden drop in the adhesion. Such a reduction in adhesion causes wheel slippage. If the slippage is unequal for the wheels then the load shared by the wheels will be disturbed with one wheel carrying lesser load and the other motor equivalently overloaded. A novel and simple method is suggested to correct the speed reference of the drives so as to improve the load sharing and to effectively use the machines under these conditions. The control strategy may be readily extended to other similar applications where the coupling between the motors is not rigid and the torque passed onto the load is by the virtue of adhesion.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".