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Record W2418675358 · doi:10.1139/tcsme-2009-0027

EXPERIMENTAL EVALUATION OF BILATERAL CONTROL SCHEMES APPLIED TO HYDRAULIC ACTUATORS: A COMPARATIVE STUDY

2009· article· en· W2418675358 on OpenAlexafffundvenue
Kurosh Zarei‐nia, Amin Yazdanpanah Goharrizi, Nariman Sepehri, Wai-keung Fung

Bibliographic record

VenueTransactions of the Canadian Society for Mechanical Engineering · 2009
Typearticle
Languageen
FieldEngineering
TopicTeleoperation and Haptic Systems
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of CanadaManitoba Hydro
KeywordsActuatorPosition (finance)Control theory (sociology)Tracking errorTracking (education)Haptic technologyComputer scienceReflection (computer programming)Position trackingFidelityStiffnessControl engineeringEngineeringSimulationControl (management)Artificial intelligenceStructural engineering

Abstract

fetched live from OpenAlex

In this paper, we present experimental results of implementing five bilateral control schemes, widely used for electro-mechanical systems, to a hydraulic actuator. The goal is to investigate the applicability of each control scheme to a hydraulic actuator and compare their performances on a common system. The considered schemes are ‘force reflection’, ‘position error’, ‘shared compliant control’, ‘force reflection with passivity’ and ‘four channels architecture’ schemes. The evaluation is conducted in terms of position tracking, force tracking, and fidelity of perceived stiffness by the operator. It is shown that force reflection and four channels architecture control schemes perform best in terms of both position tracking and force tracking during interaction with an environment emulated by different springs. Position error scheme, on the other hand, exhibits good position tracking capability, but cannot track environmental force encountered at the master site. It, however, produces a feel to the operator, based on position error between the slave and the master arms, which is potentially desirable during unconstrained motion control of the actuator.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.363
Threshold uncertainty score0.446

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.026
GPT teacher head0.262
Teacher spread0.236 · 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

Citations19
Published2009
Admission routes3
Has abstractyes

Explore more

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