https://doi.org/10.1140/epjs/s11734-024-01249-5
Regular Article
Design of fuzzy dissipative sampled-data control for nonlinear wind turbine systems with random packet losses and communication delays
School of IT Information and Control Engineering, Kunsan National University, 54150, Gunsan, Republic of Korea
Received:
11
April
2024
Accepted:
5
July
2024
Published online:
22
July
2024
This article investigates a 
-
-dissipativity-based fuzzy memory sampled-data design control (MSDC) for stabilizing a nonlinear wind turbine system (WTS) against random packet losses that uses a permanent magnet synchronous generator (PMSG). To do this, the proposed control method employs Takagi–Sugeno (T–S) fuzzy approach to convert the nonlinear model of the system into linear sub-systems. Moreover, a fuzzy MSDC is designed, and a proper Lyapunov–Krasovskii functional (LKF) is formulated using the knowledge of the sampling information. Subsequently, the looped-type LKF facilitates the establishment of criteria for stabilizing the PMSG-based WTS, taking into account the sampling interval duration and a consistent communication delay. Besides, the conditions are described as linear matrix inequalities (LMIs), ensuring global asymptotic stability and 
dissipative of T–S fuzzy systems with the suggested control mechanism. At last, the efficacy and superiority of the proposed approach are illustrated through numerical validations of the PMSG-based WTS.
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© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
