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Record W2161718960 · doi:10.1109/robot.1999.769967

Robust force controller design for an electrohydraulic actuator based on nonlinear model

2003· article· en· W2161718960 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHydraulic and Pneumatic Systems
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsActuatorControl theory (sociology)Nonlinear systemComputer scienceControl engineeringNonlinear modelController (irrigation)Robust controlPneumatic actuatorEngineeringControl (management)Artificial intelligencePhysics

Abstract

fetched live from OpenAlex

This paper documents the development and experimental evaluation of a hydraulic force controller, using nonlinear quantitative feedback theory (QFT) design method. A complete nonlinear mathematical model of a hydraulic actuator interacting with an environment is used to design the controller. Uncertainties are included in the model by considering the environmental stiffness and pump pressure as unknown parameters. The Golubev method is applied to derive a family of rational linear time-invariant transfer functions, which is precisely equivalent to the nonlinear plant within the system's operating range. A robust low-order controller is designed to satisfy a priori specified tracking and stability performances. The designed controller is implemented on an industrial hydraulic actuator equipped with a low-cost proportional valve. In spite of significant actuator dynamics and under varying conditions, successful control tests are performed repetitively.

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.

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: Methods · Consensus signal: none
Teacher disagreement score0.886
Threshold uncertainty score0.756

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 head0.049
GPT teacher head0.235
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

Quick stats

Citations33
Published2003
Admission routes1
Has abstractyes

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