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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 teacher head, 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".