Composite Nonlinear Generalized Predictive Control for Spacecraft Formation Flying Under Disturbances
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Spacecraft Formation Flying mission's relative motion trajectory tracking is a nonlinear optimal control problem. A class of receding-horizon control for nonlinear systems based on Nonlinear Generalized Predictive Controller design provides a closed-form solution for an optimal control problem. The application of standalone Nonlinear Generalized Predictive Controller for relative motion tracking control problem has observed non-zero steady state errors due to inherent system nonlinearities. In this context, this paper demonstrates the composite optimal controller structure with Nonlinear Generalized Predictive Controller and nonlinear disturbance observer design to obtain a precise tracking. Additionally, the composite optimal controller is derived to form the Proportional, Derivative and Integral controller structure for the relative motion control problem to obtain an analytical, onboard-compatible and computationally efficient optimal controller. The resulting controller is shown to be suitable to be used for perturbed near-circular orbits.
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.
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 | 0.000 | 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) | 0.000 | 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 it