MétaCan
Menu
Back to cohort
Record W2110123239 · doi:10.1109/vppc.2011.6043125

Load sharing in V/F speed controlled multi-motor driven system under mechanical wheel-slippage

2011· article· en· W2110123239 on OpenAlexaff
Jaishankar Iyer, Mehrdad Chapariha, Kamran Tabarraee, Milad Gougani, Juri Jatskevich

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHydraulic and Pneumatic Systems
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSlippageTorqueControl theory (sociology)Controller (irrigation)Automotive engineeringCoupling (piping)Computer scienceEngineeringMechanical engineeringStructural engineeringControl (management)Physics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.833
Threshold uncertainty score0.780

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.039
GPT teacher head0.225
Teacher spread0.186 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2011
Admission routes1
Has abstractyes

Explore more

Same topicHydraulic and Pneumatic SystemsFrench-language works237,207