A Square-wave Controller for a high speed induction motor drive using a three phase floating bridge inverter
Bibliographic record
Abstract
A square-wave voltage control scheme is presented for a high speed induction motor drive that uses a dual 3 phase inverter system and open ended motor windings. The drive main inverter bridge is connected to the dc battery source and a second inverter bridge is floating with no dc power source. The floating bridge dc voltage is allowed to naturally fluctuate and used to provide voltage boosting at high speeds, well above the maximum possible when using just the main bridge. This voltage boosting can also be used to compensate for fluctuations in the dc battery voltage. A second controller feature forces the main bridge to operate at a unity displacement power factor, lowering the main inverter losses and the rms current drawn from the battery - while maximizing the reactive support available to the machine. Significantly, these features are obtained inherently without having to switch between different inverter switching patterns or monitor the load current magnitude or phase. Experimental results are used to illustrate the principal of the natural reactive compensation of the floating bridge and to verify drive operation on a 2HP, 1800 rpm induction machine.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".