Kapitel/Beitrag aus dem Buch: Schulte, H et al. 2024. Proceedings - 34. Workshop Computational Intelligence: Berlin, 21.-22. November 2024.
This study investigates the conversion of the proposed phase-locked loop design
into the Takagi-Sugeno fuzzy model approach. Here, the Takagi-Sugeno fuzzy
model is used to describe the nonlinear dynamics of the PLL system through
fuzzy rules that summarize locally linear submodels. By applying the fuzzy
model, the control performance of the PLL system can be further improved, and
adaptability to different operating conditions can be enhanced. The work shows
how state feedback and pole placement can be integrated into the Takagi-Sugeno
fuzzy framework, enabling robust and precise frequency estimation under
disturbed conditions. Simulations illustrate the effectiveness of the combined
approach and highlight its potential for application in power systems.
Goldschmitdt, N et al. 2024. Robust Reconstruction of Grid Frequency in Disturbed Converter-Based Power Systems by Takagi-Sugeno Fuzzy Approach. In: Schulte, H et al (eds.), Proceedings - 34. Workshop Computational Intelligence: Berlin, 21.-22. November 2024. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.58895/ksp/1000174544-8
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Veröffentlicht am 18. November 2024