Fuzzy Chaos Control of Fractional Order D-PMSG for Wind Turbine with Uncertain Parameters by State Feedback Design

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 mechan...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Li Yang, Fuzhao Yang, Weitao Sheng, Kun Zhou, Tianmin Huang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	direct-drive permanent magnet synchronous generator (D-PMSG) wind turbine fractional order nonlinear system (FONS) fuzzy control chaos Mittag–Leffler stability Technology T
Acceso en línea:	https://doaj.org/article/5dbd34f1e45747758f031dc5979c49de
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:5dbd34f1e45747758f031dc5979c49de
record_format	dspace
spelling	oai:doaj.org-article:5dbd34f1e45747758f031dc5979c49de2021-11-11T16:05:02ZFuzzy Chaos Control of Fractional Order D-PMSG for Wind Turbine with Uncertain Parameters by State Feedback Design10.3390/en142173691996-1073https://doaj.org/article/5dbd34f1e45747758f031dc5979c49de2021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7369https://doaj.org/toc/1996-1073To 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.Li YangFuzhao YangWeitao ShengKun ZhouTianmin HuangMDPI AGarticledirect-drive permanent magnet synchronous generator (D-PMSG)wind turbinefractional order nonlinear system (FONS)fuzzy controlchaosMittag–Leffler stabilityTechnologyTENEnergies, Vol 14, Iss 7369, p 7369 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	direct-drive permanent magnet synchronous generator (D-PMSG) wind turbine fractional order nonlinear system (FONS) fuzzy control chaos Mittag–Leffler stability Technology T
spellingShingle	direct-drive permanent magnet synchronous generator (D-PMSG) wind turbine fractional order nonlinear system (FONS) fuzzy control chaos Mittag–Leffler stability Technology T Li Yang Fuzhao Yang Weitao Sheng Kun Zhou Tianmin Huang Fuzzy Chaos Control of Fractional Order D-PMSG for Wind Turbine with Uncertain Parameters by State Feedback Design
description	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.
format	article
author	Li Yang Fuzhao Yang Weitao Sheng Kun Zhou Tianmin Huang
author_facet	Li Yang Fuzhao Yang Weitao Sheng Kun Zhou Tianmin Huang
author_sort	Li Yang
title	Fuzzy Chaos Control of Fractional Order D-PMSG for Wind Turbine with Uncertain Parameters by State Feedback Design
title_short	Fuzzy Chaos Control of Fractional Order D-PMSG for Wind Turbine with Uncertain Parameters by State Feedback Design
title_full	Fuzzy Chaos Control of Fractional Order D-PMSG for Wind Turbine with Uncertain Parameters by State Feedback Design
title_fullStr	Fuzzy Chaos Control of Fractional Order D-PMSG for Wind Turbine with Uncertain Parameters by State Feedback Design
title_full_unstemmed	Fuzzy Chaos Control of Fractional Order D-PMSG for Wind Turbine with Uncertain Parameters by State Feedback Design
title_sort	fuzzy chaos control of fractional order d-pmsg for wind turbine with uncertain parameters by state feedback design
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/5dbd34f1e45747758f031dc5979c49de
work_keys_str_mv	AT liyang fuzzychaoscontroloffractionalorderdpmsgforwindturbinewithuncertainparametersbystatefeedbackdesign AT fuzhaoyang fuzzychaoscontroloffractionalorderdpmsgforwindturbinewithuncertainparametersbystatefeedbackdesign AT weitaosheng fuzzychaoscontroloffractionalorderdpmsgforwindturbinewithuncertainparametersbystatefeedbackdesign AT kunzhou fuzzychaoscontroloffractionalorderdpmsgforwindturbinewithuncertainparametersbystatefeedbackdesign AT tianminhuang fuzzychaoscontroloffractionalorderdpmsgforwindturbinewithuncertainparametersbystatefeedbackdesign
_version_	1718432416190693376

Fuzzy Chaos Control of Fractional Order D-PMSG for Wind Turbine with Uncertain Parameters by State Feedback Design

Ejemplares similares