A SPICE based fuzzy logic speed controller for PMDC motor drives
Bibliographic record
Abstract
This paper presents a novel fuzzy logic rule based speed regulator and its SPICE model for permanent magnet variable speed (PMDC) motor drives. The motor speed is regulated using the speed error excursion vector R~/sub /spl omega// and a proportional plus integral control law. The controller gain is adjusted online using the fuzzy assignment table based on the error excursion vector and its rate of change at any given time, so the control action is scaled online by the error level for the control correction needed. The scaling is based on the excursion error vector R~/sub /spl omega//=/spl radic/(e/sub /spl omega///sup 2/+e/spl dot//sub /spl omega///sup 2/) and its rate of change dR~/sub /spl omega// in the [e/sub /spl omega//-e/spl dot//sub /spl omega//] equivalent phase portrait plane.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".