A synchronization scheme based on an enhanced phase-locked loop system
Bibliographic record
Abstract
This dissertation presents a synchronization method mainly for use in power electronic applications. The main building block of the system is an enhanced phase-locked loop (EPLL) system which offers structural simplicity and robustness. EPLL extracts the fundamental component of a distorted and noisy signal and estimates its amplitude, phase angle, and frequency. A number of EPLL units are added with appropriate computational blocks to build up the structure of the proposed synchronization system. The proposed system is (1) robust in performance and in structure, (2) highly immune to noise, (3) insensitive to distortions, (4) frequency-adaptive, (5) robust with respect to severe disturbances, and (6) operable in unbalanced conditions. The latter three features are the challenging requirements and are not met by conventional synchronization methods. The mathematical basis of the system is also discussed and stability issues are addressed. Several existing methods for synchronization are studied and their performances are compared with that of the proposed system by means of computer simulation case studies. Eventually, performance of the proposed system is evaluated for extracting the control signals and the synchronization signal in the context of both single-phase and three-phase power systems under steady-state and transient conditions. In both cases, the power systems are represented in the PSCAD/EMTDC power system software and the control algorithms are implemented in Matlab/Simulink/Fixed-Point Blockset. The two software environments are interfaced using link programs to operate interactively. These simulations represent models for hardware implementations such as FPGA.
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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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".