Modeling of the Longitudinal Ground Dynamics of the Cessna Citation X
Bibliographic record
Abstract
This study aims to present a new method developed at the Laboratory of Applied Research in Active Control, Avionics, and AeroServoElasticity (LARCASE) for modeling the longitudinal ground dynamics of the Cessna Citation X (CCX) business jet aircraft. Based on a Matlab/Simulink platform, the model proposed is able to reproduce the aircraft behavior for different operating conditions on the ground. In this study, a nonlinear model for the landing gears was developed to simulate the vertical reaction forces of its three components. A detailed study was carried out to estimate the runway friction coefficient according to the runway condition: dry, and wet with two different water depths (5 mm and 12 mm), aircraft weight, center of gravity, velocity, and acceleration. A comprehensive database was created for the identification process from a Research Aircraft Flight Simulator (RAFS) for the CCX, designed and manufactured by CAE Inc. with a Level D (the highest level of certification). Finally, the ground model was validated using additional tests from the RAFS and the Criteria Manual for the Qualification of Flight Simulation Training Devices. According to the results, the proposed model provided excellent ground dynamics predictions, with a maximum relative error of 3%.
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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) | 0.001 | 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) | 0.001 | 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".