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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 OpenAlexaff
Alexander Crain, Steve Ulrich, Ángel Flores-Abad

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.

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)0.001
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 score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.009
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

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

Citations0
Published2020
Admission routes1
Has abstractyes

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