Bibliographic record
Abstract
In this thesis, the application of fluid based actuators for satellite attitude control and thermal management is investigated. The actuator named Pumped Fluid Loop Actuator (PFLA) is examined to satisfy the need for integrated attitude and thermal management systems while considering strict mass and power budgets. A nonlinear voltage-driven control law is formulated and the feasibility of the PFLA for satellite attitude maneuvers is addressed. A high-fidelity PFLA model is developed. The power consumption of the PFLA is examined in the presence of sensor noise. Simulation results demonstrate its feasibility for attitude tracking capabilities of up to ± 0.01° with slew rates of up to 10 °/s. Next, the limitations of existing fluid dynamic actuators are overcome through the design of a novel Patent Pending Pumped Fluid Spherical Actuator (PFSA). The PFSA extends the capabilities of fluid dynamic actuators and allows for satellite attitude control about any arbitrary axis through spherical design, and introduces a fault-tolerant functionality that allows it to be used as a sensor in the event of rate-gyro failure of the attitude determination subsystem. The dynamic model of the PFSA is obtained through computational fluid-dynamics and finite-element analysis using the grid-independent solution. The passive stabilization capabilities of the PFSA are investigated. Simulation results show an order of three-fold reduction in settling time in comparison to existing fluid dynamic actuators. Lastly, a design modification is proposed for PFLA in order to examine its thermal management capabilities. A comprehensive investigation is carried out to perform thermal transport from onboard electronics through conduction and convection. Simulation results demonstrate the advantages of thermal transport while considering fluid rotation inside the PFLA as opposed to stationary fluid.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".