Reconfigurable magnetic attitude control of Earth-pointing satellites
Bibliographic record
Abstract
Micro-, nano-, and pico-satellite designs are constrained by small power budget, weight, and size. The power constraint is taken care of by ensuring that all the systems onboard are optimized for low power consumption. Weight and size can be made small by reducing the number of sensors and actuators. However, the attitude control system, which constitutes one of the most important components of the satellite, often requires redundancy to make the satellite fail to be operational; but for such small satellites, low power, weight, and size limit the accommodation of redundancy in the attitude control system. Such small satellites are often magnetically actuated. The under-actuation problem of a satellite magnetic control torque in the presence of three magnetic coils has been extensively studied since 1970s. Moreover, the attitude control of a satellite using two actuators and time-dependent feedback control has been developed, but the magnetic attitude control of a satellite, which is already an under-actuated system, in the post-failure scenario of one of the three magnetic actuators, has not been developed. Failure of any one of the magnetic coils may render a satellite dysfunctional if proper control reconfiguration is not provided, keeping in view that the redundant attitude control system is not available. A new formulation for reconfiguring the control based on magnetic dipole moment modulation for the attitude control of Earth-pointing satellite has been presented in this article. In the post-failure scenario of one of the magnetic coils, the controlling capability of the system remains intact, which comes at the cost of high magnetic dipole moment in the functional magnetic coils but not at the cost of extra power. This also reduces the cross-coupling of the coils. The proposed magnetic dipole moment modulation in combination with the conventional control law is found to be very effective.
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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 | 0.000 | 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) | 0.001 | 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 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".