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Record W2996774099 · doi:10.2514/6.2020-2079

Compliant Spacecraft Capture via a Nonlinear Disturbance Observer-based Impedance Controller

2020· article· en· W2996774099 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

VenueAIAA Scitech 2020 Forum · 2020
Typearticle
Languageen
FieldEngineering
TopicSpace Satellite Systems and Control
Canadian institutionsCarleton University
Fundersnot available
KeywordsSpacecraftControl theory (sociology)Impedance controlController (irrigation)Nonlinear systemRobotObserver (physics)Computer scienceControl engineeringElectrical impedanceState observerDisturbance (geology)RoboticsEngineeringArtificial intelligenceAerospace engineeringControl (management)Physics

Abstract

fetched live from OpenAlex

This paper proposes the use of a nonlinear disturbance observer-based impedance controller for the compliant capture of free-flying spacecraft using a free-flying robot. First, the dynamics for a free-flying spacecraft are derived. An existing nonlinear disturbance observer that can be used to determine the end-effector disturbance for a fixed-base manipulator without knowledge of the second state derivatives is then extended for use with a free-flying robot. The observer is shown to be asymptotically stable. The observer is then paired with an impedance controller, and the proposed technique is successfully experimentally validated at Carleton University’s Spacecraft Robotics and Control Laboratory, where a robotic manipulator achieves the compliant capture of a free-floating spacecraft.

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 categoriesMeta-epidemiology (narrow)
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 score0.905
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.009
GPT teacher head0.195
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