Double-Pulsing Reflected Wave Overvoltage Oscillation Suppression in Long-Cable VSI Motor Drives Induced by Narrow PWM Pulses
Bibliographic record
Abstract
In the voltage source inverter (VSI)-fed motor drive system equipped with long cable connection, the differential reflected wave overvoltage (RW-OV) at AC motor terminals can typically reach a maximum of 2 per unit (pu) of the DC bus voltage when a single rising/falling switching is applied to an uncharged cable. However, under certain conditions, such as low-speed operation, the frequent narrow pulse-width-modulation (PWM) pulses will lead to the double-pulsing phenomenon, where the latest switching occurs while the voltage oscillation caused by the previous one has not fully decayed. This results in a differential RW-OV oscillation with an amplitude over 3 pu, which challenges the insulation capability of the motor and aggravates high-frequency electromagnetic interference (EMI) issues. Unfortunately, most solutions merely resort to passive ways to avoid this issue, i.e., either directly abandoning narrow PWM pulses below a minimum dwell time or extending their duration to allow prior voltage oscillations to decay. Therefore, the line-to-line double-pulsing RW-OV in three-phase motor drives has been insufficiently researched. This paper proposes a real-time duty-cycle-offset (RT-DCO) strategy that dynamically rotates which phase carries the maximum duty cycle and applies interleaved offsets to the other two phases, actively mitigating double-pulsing RW-OV behavior by leveraging residual oscillatory components to suppress subsequent voltage fluctuations while maximizing volt-second balance. Simulation and experimental results demonstrate the effectiveness of the proposed RT-DCO method in suppressing three-phase double-pulsing RW-OV oscillations.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".