H-Infinity Artificial Bee Colony to Dampen Sideslip and Bankroll Disturbances of Boeing 747-100 Lateral Movement
Bibliographic record
Abstract
The H-infinity method is used to augment the lateral stability of Boeing 747-100 flight at Mach numbers and altitudes of (0.2, sea-level), (0.5, 6096 m), and (0.9, 12192 m). The aim is to attenuate the lateral-directional states' perturbations coupling with the aileron and rudder. The method is synthesized with the artificial bee colony algorithm to ensure a robust quadratic performance under moderate sideslip and bankroll disturbances based on the mixed H-infinity sensitivity criteria. Such an optimizer effectively weighs the design gain matrices for at least a degree of freedom higher than without it. Stable eigenvalues and steady-state responses are reached for the step states. The controller appropriately tracks reference side velocity, roll rate and yaw rate and effectively compensates for sideslip and bankroll disturbances. Despite the transient peaks for the roll and yaw rates, level convergences are obtained for the other states. Dutch roll mode meets flying qualities of airworthiness requirements, whereas roll and spiral modes slightly diverge nearby the landing conditions. The H-infinity and artificial bee colony synthesis were well performed for bankroll and sideslip references of small to moderate perturbations. A high-fidelity optimizer may be considered for a severe level of disturbance and transitory behaviour.
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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".