Meeting IEC and ER G4/5 harmonic standards in nine‐level cascaded H‐bridge inverters using an improved SHM‐PAM scheme
Bibliographic record
Abstract
This study introduces a new switching scheme for nine‐level cascaded H‐bridge (CHB) inverter to comply with the harmonic standards (IEC 61000‐2‐12, IEC 61000‐3‐6, and ER G4/5) using an improved selective harmonic minimisation pulse amplitude modulation (SHM‐PAM) scheme. In this scheme, the optimised switching instances and variable DC‐link voltages are determined by solving some new constraints based cost functions using particle swarm optimisation (PSO) technique. The theoretical analysis and optimisation results of the proposed modulation scheme are validated through MATLAB simulations and experimentally on a laboratory‐scale prototype of CHB inverter. The proposed modulation scheme utilises a minimal number of switching instances in a fundamental period and optimisation variables in the problem formulation in comparison to conventional SHE‐PWM and SHE‐PAM schemes. The key performance of the proposed scheme in terms of harmonic and loss analysis is evaluated over the wide range of the power factors and modulation index. Finally, the suitability of the proposed scheme is tested for the closed‐loop speed control of a 5 hp, 415 V three‐phase induction motor.
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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 | 0.000 |
| 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 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".