Overview of Japan-Canada Joint Collaboration Satellites (JC2Sat) GNC Challenges and Design
Bibliographic record
Abstract
The Japan Canada Joint Collaboration Satellites – Formation Flight (JC2Sat-FF) project is a joint project between the Canadian Space Agency (CSA) and the Japan Aerospace Exploration Agency (JAXA). This paper presents an overview of JC2Sat mission and discusses unique GNC challenges and solutions with focus on attitude control subsystem (ACS) and relative navigation subsystem (RNS). Preliminary simulations are presented to validate that the design requirements are satisfied by proposed design techniques. Nomenclature Ad = desired geocentric separation latitude prop g sat ( ) a R = satellite gravitational acceleration including only the two-body and J2 perturbation accelerations B = earth magnetic field vector expressed in satellite body coordinates hy e = angular momentum error about the satellite pitch axis h = satellite angular momentum vector expressed in satellite body coordinates h % = satellite angular momentum error vector expressed in satellite body coordinates d h = desired angular momentum vector expressed in satellite body coordinates dw h = desired angular momentum about the satellite pitch axis i = inclination I = satellite moment of inertia matrix expressed in satellite body coordinates 1 2 , , k k k = control gains vo ro k k , = constant gains vr rr k k , = constant gains m = magnetorquer dipole moment vector expressed in the satellite body frame max m = magnetorquer limit vector r = an upper-bound on the covariance of the GPS absolute or relative position error
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".