Simulation of a hybrid electric propulsion used to reduce aircraft asymmetry following a failure.
Bibliographic record
Abstract
View Video Presentation: https://doi.org/10.2514/6.2023-4541.vid Hybrid electric propulsion is widely studied looking for future aircraft solutions to reduce CO2 emissions. Parallel hybrid architectures offer different operating modes either in normal or abnormal conditions. Propulsion sizing, especially hybridization or electrication, can have an impact on the aircraft capabilities in term of trajectory and control. Thus, hybrid-electric propulsive system studies require anticipating those impacts. Therefore, this paper presents how a propulsion system simulation in an environment representative of aircraft flight at a preliminary level is tested. Three simulations are presented which focus on the take-off flight phase. The first simulation presents a take-off scenario with an engine failure 1 second before the decision speed. The second and the third manoeuvers calculate the minimal control speed on ground and on air. Different necessary blocks for modelling engines, aircraft flight dynamics, control and environment are described. Results show how the use of hybridization could limit asymmetry in case of failure and reduce the minimal control speed on ground and in air.
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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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".