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Systematic Gray-Box Identification Methodology for Voltage Source Converters

Advanced Manufacturing

Summary

arXiv:2606.03567v1 Announce Type: new Abstract: This paper introduces a systematic gray-box identification framework for voltage-source converter models based solely on terminal time-series data. The proposed approach combines a physically informed white-box standard model with iterative time-domain calibration to estimate controller parameters that mimic the behavior of the black-box model in electromagnetic transient (EMT) simulations. Unlike conventional frequency-domain identification methods, the framework leverages time-domain data more effectively to better constrain the surrogate model across a broader operating range and capture reference-signal dynamics.

Why It Matters

This Advanced Manufacturing development raises the bar for precision and smart-factory capability in the region. For Asia, it is a signal worth tracking: it shapes who supplies, who scales, and who sets the standard over the next five years.

Key Facts

  • SectorAdvanced Manufacturing
  • Market
  • ImpactLow (42/100)
  • SignalResearch

Original Sources

arXiv Systems & Control ↗ https://arxiv.org/abs/2606.03567

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