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Related Experiment Video

Updated: Oct 22, 2025

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
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Quantized dissipative control based on T-S fuzzy model for wind generation systems.

Xiao Cai1, Jun Wang2, Kaibo Shi3

  • 1School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, PR China; Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313001, PR China.

ISA Transactions
|August 31, 2021
PubMed
Summary

This study enhances wind generation system stability using a novel fuzzy model approach. It introduces new methods to manage time delays, improving system performance and reliability.

Keywords:
Delay-product-type functionsExtended dissipativityFuzzy quantized controlT–S fuzzy modelWind generation systems

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Area of Science:

  • Control Systems Engineering
  • Renewable Energy Systems
  • Fuzzy Logic

Background:

  • Wind generation systems (WGSs) are crucial for renewable energy, but their stability is challenged by time delays.
  • Traditional Takagi-Sugeno fuzzy models (TSFM) have limitations in handling complex delay dynamics.

Purpose of the Study:

  • To develop a more robust TSFM for WGSs capable of handling coupled leakage time-varying delays (CLTVD).
  • To design a fuzzy quantized control strategy ensuring extended dissipativity (ED) performance in WGSs.

Main Methods:

  • Introduced a novel concept of coupled leakage time-varying delay (CLTVD) for a generalized TSFM.
  • Incorporated a time-delay-product function (TDPF) relaxed term.
  • Constructed a Lyapunov-Krasovskii functional (LKF) to manage delays and their derivatives.
  • Utilized integral inequalities to establish new stabilization criteria.

Main Results:

  • Developed new criteria for the stabilization of delayed TSFM-based WGSs.
  • Designed a fuzzy quantized controller incorporating CLTVD.
  • Simulation results demonstrated the effectiveness and improved performance of the proposed methods.

Conclusions:

  • The proposed approach effectively addresses extended dissipativity in WGSs with complex time delays.
  • The novel TSFM and control strategy offer superior stability and performance compared to existing methods.