State variable decoupling and power flow control in PWM current source rectifiers
Bibliographic record
Abstract
Current source PWM rectifiers among others are gradually replacing thyristor line commutated rectifiers as a source of variable DC power. Advantages include reduced line current harmonic distortion and complete power factor control, including unity power factor operation. However, due to intrinsic nonlinearities and stability problems, the control of the rectifier has usually been achieved using off-line patterns or direct line current control in the abc frame. This paper proposes a state variable control technique that introduces more flexibility in the control of the rectifier and a more straightforward approach to controller design. The proposed technique consists in linearizing the state variable model of the system in the dq frame, decoupling and independently controlling the two components of the line current (active and reactive), eliminating the input damping resistors, and rejecting the effect of supply voltage variations. Also, a space vector modulation technique is used to maximize the current gain and switch utilization of the rectifier. The paper includes a complete formulation of the equations of the decoupled system and a controller design procedure. Experimental results on a 2 kVA DSP based prototype confirm the theoretical considerations.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".