Autonomous precision formation flying: a proposed fault tolerant attitude control strategy
Bibliographic record
Abstract
Future space missions, such as those involving formation flying of multiple satellites require high operational autonomy mainly with the aim of reducing the operation costs and improving reactivity to sensed data. In particular, stringent performance requirements envisaged precision formation flying cannot be achieved by currently available technologies. One of the main challenges in achieving autonomy is the capability of fault management without extensive involvement of ground station operators. This paper uses a second order nonlinear sliding mode observer to detect actuator faults in the attitude control system of a satellite with four reaction wheels in a tetrahedron configuration. A post-processing of residuals is required to isolate and reconstruct the faults in all four reaction wheels. Furthermore, the control strategy needs to be reconfigured to recover faults. Simulation results show that the proposed strategy can detect, isolate and reconstruct reaction wheel faults in the attitude control system of a satellite.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".