Robust adaptive control for flap positioning system with SMA actuators-inverse Duhem model-based approach
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Shape memory alloy (SMA) actuators are a class of smart materials-based actuators, which have some excellent features such as high power-to-weight ratio, large recovery strain and low driving voltages, etc. However, the saturated-type hysteresis non-linearities existing in the SMA actuators will degrade the system performance, and limit the improvement of the positioning precision. Focusing on this task, a robust adaptive control approach for the flap positioning system based on shape memory alloy actuators is addressed in this paper. A differential equation-based hysteresis model, Duhem model, is adopted to describe the saturation and minor loops characteristics in the SMA actuators by choosing the proper slope functions. The inverse of estimated Duhem hysteresis is preceded as the compensation. In this paper, the compensation error, lag effect and the unmodelled measure error are considered, and the proposed control method can stabilise the closed-loop system and ensure the accurate rotation of the flap to the desired angle. Simulations performed on a flap positioning system illustrate and clarify the approach.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 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