Hybrid Fault-Tolerant Flight Control System Design Against Partial Actuator Failures
Bibliographic record
Abstract
A model to represent loss of control effectiveness in an aircraft is developed by analyzing physical faults in the hydraulically-driven control surfaces. A hybrid fault-tolerant control system (FTCS) that combines the merits of passive and active FTCSs is proposed to accommodate this kind of partial actuator failures. The hybrid FTCS is able to first slow down the rate of fault induced system deterioration with minimal fault information so that the fault detection and diagnosis (FDD) schemes can have additional time to achieve more accurate fault diagnosis. Once the correct fault information is obtained, the hybrid FTCS can counteract the faults effectively through an optimal reconfigurable controller. Depending on the availability of actuator redundancies, the passive FTCS and the reconfigurable controller are designed in the framework of linear matrix inequality (LMI) approach. Case studies of an aircraft subject to different degree of loss of control effectiveness have been carried out to prove the effectiveness of this new approach to FTCS.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".