LAPSE:2023.18344
Published Article
LAPSE:2023.18344
Fuzzy Chaos Control of Fractional Order D-PMSG for Wind Turbine with Uncertain Parameters by State Feedback Design
Li Yang, Fuzhao Yang, Weitao Sheng, Kun Zhou, Tianmin Huang
March 8, 2023
Abstract
To research the chaotic motion problem of the direct-drive permanent magnet synchronous generator (D-PMSG) for a wind turbine with uncertain parameters and fractional order characteristics, a control strategy established upon fuzzy state feedback is proposed. Firstly, according to the working mechanism of D-PMSG, the Lorenz nonlinear mathematical model is established by affine transformation and time transformation. Secondly, fractional order nonlinear systems (FONSs) are transformed into linear sub-model by Takagi−Sugeno (T-S) fuzzy model. Then, the fuzzy state feedback controller is designed through Parallel Distributed Compensation (PDC) control principle to suppress the chaotic motion. By applying the fractional Lyapunov stability theory (FLST), the sufficient conditions for Mittag−Leffler stability are formulated in the format of linear matrix inequalities (LMIs). Finally, the control performance and effectiveness of the proposed controller are demonstrated through numerical simulations, and the chaotic motions in D-PMSG can be eliminated quickly.
Keywords
chaos, direct-drive permanent magnet synchronous generator (D-PMSG), fractional order nonlinear system (FONS), fuzzy control, Mittag–Leffler stability, uncertain parameters, wind turbine
Suggested Citation
Yang L, Yang F, Sheng W, Zhou K, Huang T. Fuzzy Chaos Control of Fractional Order D-PMSG for Wind Turbine with Uncertain Parameters by State Feedback Design. (2023). LAPSE:2023.18344
Author Affiliations
Yang L: School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China; Electrical & Information Engineering Department, Sichuan Engineering Technical College, Deyang 618000, China [ORCID]
Yang F: Electrical & Information Engineering Department, Sichuan Engineering Technical College, Deyang 618000, China
Sheng W: Electrical & Information Engineering Department, Sichuan Engineering Technical College, Deyang 618000, China
Zhou K: College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, China
Huang T: School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China
Journal Name
Energies
Volume
14
Issue
21
First Page
7369
Year
2021
Publication Date
2021-11-05
ISSN
1996-1073
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PII: en14217369, Publication Type: Journal Article
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https://doi.org/10.3390/en14217369
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