Integral Action Model Predictive Control with Actuator Fault Estimation
Why this work is in the frame
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Bibliographic record
Abstract
This paper develops a novel model predictive control (MPC) formulation for fixed wing aircraft with state and fault estimation. The primary contribution of this study is integrating an observer based method for simultaneous state and fault estimation with a standard MPC algorithm to accurately detect randomly occurring faults within the system inputs (actuators). The actuator faults are modeled as Loss Of Effectiveness (LOE). As this model predictive control algorithm is based on a delta-input formulation, the closed-loop system in both fault-free and fault conditions is stable, thus eliminating the need for the time consuming reconfiguration of the internal MPC model. The secondary contribution of this study is the application of this modified MPC scheme to detect actuator faults during flight control of fixed wing aircraft, verified through numerical simulations.
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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 it