Intelligent speed control of interior permanent magnet synchronous motors
Bibliographic record
Abstract
Precise control of the permanent magnet synchronous motor over wide speed range is an engineering challenge. This paper considers the design and implementation of two novel techniques of speed control for an interior permanent magnet synchronous motor using hybrid current and artificial neural network controllers. The intelligent hybrid controller which is a combination of the hysteresis current controller for high speed operation and a ramp comparator for low speed operation is proposed. The switching between the two modes is conveniently enabled in software. This hybrid method is compared with the artificial neural network based speed control scheme incorporating the on-line weights and biases updating as well as adaptive learning rate features in software command. Systematic mathematical formulations are given. An implementation schematic using the digital signal processor board DS1102 is presented. Complete control systems have been implemented using current-controlled three-phase PWM voltage source inverter for a laboratory 1 hp interior rotor permanent magnet motor. The experimental results validate the theoretically simulated speed responses under different dynamic operating conditions.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".