A QFT fault-tolerant control for electrohydraulic positioning systems
Why this work is in the frame
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Bibliographic record
Abstract
This paper describes the design and experimental evaluation of a fault-tolerant controller (FTC) for an electrohydraulic servo positioning system. The controller is required to retain the stability of the system under sensor failure or, in the presence of faults in servovalve and supply pump. A mathematical model describing the hydraulic actuator is derived in which sensor failures and component faults are captured as uncertainties in the model parameters. A robust controller is designed, using quantitative feedback theory (QFT), to maintain key properties of the closed-loop system, i.e., stability and disturbance rejection. The designed controller is easy to implement and no online tuning or adaptation is necessary. The feasibility of the controller was evaluated by implementing it on an experimental test rig. Experimental results demonstrate the effectiveness of the controller under abrupt sensor failures or incorrect supply pump pressures.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 it