Quantized dissipative control based on T-S fuzzy model for wind generation systems

Xiao Cai; Jun Wang; Kaibo Shi; Shouming Zhong; Tingting Jiang

doi:10.1016/j.isatra.2021.08.018

Quantized dissipative control based on T-S fuzzy model for wind generation systems

ISA Trans. 2022 Jul:126:533-544. doi: 10.1016/j.isatra.2021.08.018. Epub 2021 Aug 18.

Authors

Xiao Cai¹, Jun Wang², Kaibo Shi³, Shouming Zhong⁴, Tingting Jiang⁵

Affiliations

¹ School 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.
² College of Electrical Engineering, Southwest Minzu University, Chengdu 610041, PR China.
³ School of Electronic Information and Electrical Engineering, Chengdu University, Chengdu, 610106, PR China; Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313001, PR China. Electronic address: skbs111@163.com.
⁴ School of Mathematics Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, PR China.
⁵ School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, PR China.

PMID: 34462135
DOI: 10.1016/j.isatra.2021.08.018

Abstract

In this paper, we address the extended dissipativity (ED) performance of delayed T-S fuzzy model (TSFM)-based wind generation systems (WGSs). First, a concept of coupled leakage time-varying delay (CLTVD) is proposed to construct a more widespread TSFM. Second, the relaxed term with time-delay-product function (TDPF) is introduced. Then, a befitting Lyapunov-Krasovskii functional (LKF) is constructed, which can handle the delay and its derivation. Third, by using valid integral inequalities, new stabilization criteria are established. Meanwhile, the desired fuzzy quantized control with CLTVD is designed. Finally, simulation results are given to show the validity and superiority of our derived results.

Keywords: Delay-product-type functions; Extended dissipativity; Fuzzy quantized control; T–S fuzzy model; Wind generation systems.