Experimental Evaluation of Single-Phase Shunt Active Power Filter Based on Optimized Synergetic Control Strategy for Power Quality Enhancement
Bibliographic record
Abstract
In this paper, a synergetic approach based on particle swarm optimization (SC-PSO) technique is proposed for Single-Phase Shunt Active Power Filter (SP-SAPF). Two-loop cascade controller for SP-SAPF has been designed. In the first loop, a PI controller is used to effectively regulate the DC link voltage. In the second one, a synergetic controller is performed in the current compensation control loop. The various adjustable parameters of the studied synergetic controller are tuned by a PSO algorithm. The objective of this adjustment is to get the optimal control parameters for satisfying requirements of power quality and high dynamic responses for SP-SAPF. The effectiveness of the suggested SC-PSO approach has been proved by simulation and experimental tests using MATLAB/Simulink environment and dSPACE 1104 card for several operating conditions. The experimental results demonstrate that the developed SC-PSO approach is very satisfactory and offers a high performance for both transient and steady states.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 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".