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Record W2133745614 · doi:10.1109/ccece.2005.1557212

Sliding-mode control of a servomotor-pump in a position control application

2006· article· en· W2133745614 on OpenAlexaff
Marie-Soleil Perron, Jean de Lafontaine, Y. Desj

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHydraulic and Pneumatic Systems
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsControl theory (sociology)ServomotorRobustness (evolution)Robust controlPID controllerHydraulic cylinderController (irrigation)Sliding mode controlControl engineeringComputer scienceEngineeringControl systemNonlinear systemTemperature controlMechanical engineeringPhysicsArtificial intelligenceControl (management)

Abstract

fetched live from OpenAlex

This paper presents the design of a position controller in a power cylinder control application using a servomotor-pump assembly. Electro-hydraulic systems are known for their highly non-linear behavior and their sensitivity to parameter variation. The controller presented here uses the robustness property of sliding-mode controllers to resolve efficiency variations of the pump which are dependant of the pressure operating point and its speed of rotation. Complete electrohydraulic simulation models including the servomotor and hydraulic valves are used to demonstrate the effectiveness of the controller compared to a standard PI position controller. The results show that the presented sliding-mode controller is up to 24 times more robust to parameter variation than a standard PI position controller.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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.

Opus teacher head0.003
GPT teacher head0.188
Teacher spread0.185 · 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 source (direct Gemma or distilled Codex), 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

Citations24
Published2006
Admission routes1
Has abstractyes

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