High Efficiency Flight Control System for GEO Spacecraft Hall Current Thruster Orbit Transfer
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".