A near unity input displacement factor PWM rectifier for medium voltage CSI based AC drives
Bibliographic record
Abstract
The current source rectifier (CSR) operated with selective harmonic elimination (SHE) method with low switching frequencies (300-420 Hz) can meet stringent input harmonic requirements and is therefore, a suitable front end for medium voltage CSI based AC drives. Regulation of the DC link current can be achieved by either phase shifting the gating pattern or varying the modulation index. Both of these methods however, result in unacceptably low values of input displacement factor (IDF) for light loads. A control strategy based on combining modulation index and phase shift control is proposed in this paper to achieve near unity IDF for a wide range of operating points. The paper includes a description of the proposed control strategy, investigation of IDF compensation limitations, and simulation and experimental results for various modes of operation. The paper also investigates the IDF values for the above three control strategies and for three different types of industrial loads. Results show that depending on the speed/torque characteristics of the load, a power factor correction system may not always be necessary for CSI based drives with PWM rectifier front end.
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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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".