Dual-loop geometric-based control of full-bridge inverters for stand-alone distributed generation systems
Bibliographic record
Abstract
Buck-derived topologies are a popular alternative for the inverter stage of distributed generation systems. The lack of a grid connection places high reliability demands on the inverter controller. Dual-loop linear schemes are traditionally employed for the control of single-phase full-bridge inverters because of their simple implementation. However, the voltage loop dynamics are usually sluggish due to the requirement of making the outer loop's bandwidth much lower than the inner loop one. On the other hand, state-plane-based controllers offer fast and stable response against large signal disturbances, but constant switching frequency can only be achieved at the expense of a high computational cost. This work introduces a hybrid dual-loop control technique for inverters that combines the advantages of linear and state-plane-based controllers. The proposed dual loop scheme features a geometric-based voltage outer loop that provides fast and robust performance. The outer loop controller is complemented with a linear inner loop that ensures constant switching frequency and simple implementation. The derivation of the geometric controller is performed in the normalized state plane. Simulation and experimental results are provided in order to validate the proposed control scheme.
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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".