Dynamic Guaranteed Cost Event-Triggered-Based Anti-Disturbance Control of T-S Fuzzy Wind-Turbine Systems Subject to External Disturbances

In this article, we investigate an improved dynamic guaranteed cost event-triggered-based anti-disturbance control for Takagi-Sugeno fuzzy wind-turbine systems subject to external disturbances. A guaranteed cost event-triggered paradigm with dynamic threshold and sector structure is constructed to a...

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Bibliographic Details
Published inIEEE transactions on fuzzy systems Vol. 32; no. 12; pp. 7063 - 7072
Main Authors Gu, Yang, Shen, Mouquan, Park, Ju H., Wang, Qing-Guo, Zhu, Zheng Hong
Format Journal Article
LanguageEnglish
Published IEEE 01.12.2024
Subjects
Anti-disturbance control
Control systems
Costs
Disturbance observers
Electrical engineering
Estimation
event-triggered control
Fuzzy systems
Generators
Stators
Symbols
Takagi-Sugeno model
Takagi–Sugeno (T-S) fuzzy system
Torque
Wind turbines
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Summary:In this article, we investigate an improved dynamic guaranteed cost event-triggered-based anti-disturbance control for Takagi-Sugeno fuzzy wind-turbine systems subject to external disturbances. A guaranteed cost event-triggered paradigm with dynamic threshold and sector structure is constructed to alleviate unnecessary triggers caused by outlier measurement. An additional event condition is designed to deal with the difference of premise variable between the system and controller. A PI-type intermediate estimator is introduced to simultaneously estimate the system state and external disturbance. Subsequently, an event-triggered fuzzy controller is built to actively compensate the external disturbances. With the help of Finsler's lemma, sufficient criteria are derived in terms of linear matrix inequalities to make the wind-turbine systems asymptotically stable. Finally, the proposed method is verified by comparative studies.
ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2024.3476320