THD Mitigation in Parallel Voltage Source Converters Through Fuzzy Logic Control and SVPWM Technique
Bibliographic record
Abstract
This paper aims to design and analyze the performance of parallel voltage source converters (VSCs) using space vector pulse width modulation (SVPWM) topology and to control the output voltage and current of the VSCs using PI and fuzzy logic controllers (FLCs). The project studies the performance of the parallel VSCs with SVPWM in terms of total harmonic distortion (THD). The proposed SVPWM technique is grounded in recent advances in fuzzy logic optimization methods, known for their suitability in solving multi-objective problems. Utilizing fuzzy logic, the technique aims to determine optimum firing angles that minimize harmonic content. The system includes parallel VSCs, RL load, LC filter and grid. The methodology entails the simulation of parallel VSCs utilizing SVPWM topology in MATLAB/Simulink, introducing FLCs into the simulation, and subsequently evaluating the parallel VSCs' performance under SVPWM topology. Additionally, the stability and robustness of the parallel VSCs, integrating both SVPWM and FLCs, are systematically analyzed. The findings reveal that employing FLCs for controlling the output voltage and current in parallel VSCs leads to a notable reduction in THD compared to conventional control methods lacking optimization methods. Comparative assessments are conducted between the performance of parallel VSCs utilizing the SVPWM technique and FLCs versus SVPWM methods without optimization technique, with a thorough analysis of stability and robustness.
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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) | 0.000 | 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) | 0.000 | 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".