Simplified Fuzzy Logic Controller and Its Application as a Power System Stabilizer
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Bibliographic record
Abstract
A simplified fuzzy logic controller (SFLC) with a significantly reduced set of fuzzy rules, small number of tuning parameters and simple control algorithm and structure is presented. The SFLC is derived from a two-dimensional and symmetrical rule table commonly used in fuzzy control applications. In the phase-plane, the required control action magnitude is proportional to the distance from the state of the system to the switching line (defined by the desired zero consequence). Based on the SFLC, a simplified power system stabilizer (SFLPSS) is designed and applied to a single machine-infinite bus system. Simulation studies are carried out to show that the proposed SFLPSS, with a considerably reduced rule base, is able to provide the same response as a fuzzy controller with the original set of fuzzy rules. The results also show the effectiveness of the proposed PSS in damping power system oscillations, as compared to a conventional PSS.
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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