CHATTERING REDUCTION IN A GEOMETRIC SLIDING MODE METHOD. A ROBUST LOW-CHATTERING CONTROLLER FOR AN AUTONOMOUS WIND SYSTEM
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Bibliographic record
Abstract
This paper focuses on the design of reduced chattering sliding mode controllers and its application to the optimization of a wind energy system. It develops, in an accessible way, an enhanced control design method suitable for a wide range of engineering applications, namely those that accept a certain degree of discontinuous action in their input and that can be described as non-linear systems affine in the control with a vector of bounds for the uncertainties. The proposed systematic method is based on a geometric approach developed by the authors in a previous work. This new proposal reduces the chattering while maintaining the attractive features of the original method, those are robustness, tuning simplicity and reaching mode control. Taking advantage of these attributes, a robust low-chattering controller for an autonomous wind energy conversion system based on a permanent magnet generator is developed.
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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 | 0.001 | 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 | 0.001 |
| 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