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Record W2314653254 · doi:10.2514/6.2004-3187

High Efficiency Flight Control System for GEO Spacecraft Hall Current Thruster Orbit Transfer

2004· article· en· W2314653254 on OpenAlexaff
Moonish R. Patel, Neil E. Goodzeit

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicInertial Sensor and Navigation
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsSpacecraftAerospace engineeringCurrent (fluid)Orbit (dynamics)PhysicsEngineering

Abstract

fetched live from OpenAlex

To increase mass to orbit performance, a flight control system has been developed that provides orbit transfer capability using Hall Current Thrusters (HCTs). This system, activated following a standard high-thrust orbit transfer phase, facilitates robust and reliable HCT firing for a period of several months to complete the transfer to the mission GEO orbit. During the HCT firing the spacecraft autonomously tracks a commanded reference frame and controls the solar arrays to remain sun pointed. The reference frame is generated based on the results of ground-based numerical optimization that solves for the minimum-time orbit transfer thrust trajectory. During the orbit transfer the spacecraft inertial reference is maintained by propagating the three-axis gyro rate outputs of a precision inertial reference unit, with periodic attitude updates using earth and sun sensors. For fuel efficiency, reaction wheels (RWAs) are used for attitude control and gimbaled HCTs provide RWA momentum adjust. High-thrust hydrazine thrusters are used for rapid attitude re-orientations, attitude-update slews, and contingency operations. The paper provides an overview of the HCT orbit transfer concept of operations, and the attitude determination and attitude control strategies. Illustrative simulation results are presented for a Lockheed Martin A2100 spacecraft that will perform a partial orbit transfer using HCTs.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.785
Threshold uncertainty score0.501

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 head0.006
GPT teacher head0.196
Teacher spread0.191 · 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

Citations2
Published2004
Admission routes1
Has abstractyes

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