Sliding Mode Observer-Based Fault Detection and Isolation in Flight Control Systems
Bibliographic record
Abstract
This paper deals with observer-based actuator fault detection, isolation and estimation (FDIE) schemes for a class of linear systems with external disturbances. To isolate and estimate the possible actuator faults, we first relate each possibility to a faulty model, then for each possible faulty model, we design a corresponding sliding mode observer (SMO), the residuals are defined as the norm of the magnitudes of the output estimation errors resulting from all possible faulty models. It is proved that, for the faulty model corresponding to the faulty actuator, the designed SMO can ensure the related output estimation error converges to a sufficiently small neighborhood. It is also shown that, for all other possible faulty models, the related output estimation errors are much larger. Finally, a research civil aircraft model (RCAM) is used to illustrate the design procedures and the effectiveness of the proposed actuator FDIE method.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".