Bibliographic record
Abstract
This paper presents a modular feedforward wind rejection method for agile fixed-wing UAVs, designed to work in tandem with a thrust pointing position controller. The feedforward controller requires a trustworthy wind estimate, and is based on three components, a feedforward rotation on attitude and two feedforward components on thrust. The controller uses attitude trim conditions to reject wind disturbances near the cross-wind condition, while also adopting an airspeed-based feedforward on thrust to reduce disturbances when flying in-line with the wind vector. The feedforward controller was validated in simulation and outdoor flight tests. Simulated flights consisted of straight line and circular tracking in a constant wind-field, as well as frequency tests to examine the ability of the feedforward controller to reject wind fluctuations. Experimental flight tests tracking a circular path in a windy environment were conduced. The results of simulations and experimental flights show that the feedforward controller provides good wind rejection performance when compared to the feedback position controller operating on its own.
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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 | 0.000 | 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 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".