Wind Turbines Pitch Controller using Constrained Fuzzy-Receding Horizon Control

Mohamed Abdelkarim Abdelbaky; Xiangjie Liu; Xiaobing Kong

doi:10.1109/CCDC.2019.8833438

Wind Turbines Pitch Controller using Constrained Fuzzy-Receding Horizon Control

Mohamed Abdelkarim Abdelbaky
, Xiangjie Liu
, Xiaobing Kong

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

22 Scopus citations

Abstract

This study concentrates on the variable speed/pitch wind-turbines control for the overrated wind-speed. The pitch control is essential in this high wind-speed to adjust the rated output power. The key challenges of designing a pitch control for the wind-turbine are the constraints in the pitch-angle, wind turbine nonlinearities, the wind-speed variations, and the unmeasured states (unstructured model dynamics). From this point of view, this paper proposes constrained fuzzy-receding horizon pitch control to investigate the variable speed wind turbine performance. The proposed controller guarantees the nominal stability and converted to a simple online quadratic optimization problem which required less computational time to be solved. The proposed controller is compared with the gain scheduled-PI controller (which has been used abundantly in the wind-turbine industry) by applying the wind-turbine mathematical model. Additionally, a typical 5MW offshore wind-turbine simulator is employed to verify the results from the mathematical model. The results indicate the effectiveness of the proposed controller over the baseline controller.

Original language	English
Title of host publication	Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	236-241
Number of pages	6
ISBN (Electronic)	9781728101057
DOIs	https://doi.org/10.1109/CCDC.2019.8833438
State	Published - Jun 2019
Externally published	Yes
Event	31st Chinese Control and Decision Conference, CCDC 2019 - Nanchang, China Duration: 3 Jun 2019 → 5 Jun 2019

Publication series

Name	Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019

Conference

Conference	31st Chinese Control and Decision Conference, CCDC 2019
Country/Territory	China
City	Nanchang
Period	3/06/19 → 5/06/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

constrained fuzzy-receding horizon control
fuzzy modeling
Offshore wind-turbine
pitch control
quadratic optimization problem

ASJC Scopus subject areas

General Decision Sciences
Control and Systems Engineering
Control and Optimization

Access to Document

10.1109/CCDC.2019.8833438

Cite this

Abdelbaky, M. A., Liu, X., & Kong, X. (2019). Wind Turbines Pitch Controller using Constrained Fuzzy-Receding Horizon Control. In Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019 (pp. 236-241). Article 8833438 (Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC.2019.8833438

Abdelbaky, Mohamed Abdelkarim ; Liu, Xiangjie ; Kong, Xiaobing. / Wind Turbines Pitch Controller using Constrained Fuzzy-Receding Horizon Control. Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 236-241 (Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019).

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title = "Wind Turbines Pitch Controller using Constrained Fuzzy-Receding Horizon Control",

abstract = "This study concentrates on the variable speed/pitch wind-turbines control for the overrated wind-speed. The pitch control is essential in this high wind-speed to adjust the rated output power. The key challenges of designing a pitch control for the wind-turbine are the constraints in the pitch-angle, wind turbine nonlinearities, the wind-speed variations, and the unmeasured states (unstructured model dynamics). From this point of view, this paper proposes constrained fuzzy-receding horizon pitch control to investigate the variable speed wind turbine performance. The proposed controller guarantees the nominal stability and converted to a simple online quadratic optimization problem which required less computational time to be solved. The proposed controller is compared with the gain scheduled-PI controller (which has been used abundantly in the wind-turbine industry) by applying the wind-turbine mathematical model. Additionally, a typical 5MW offshore wind-turbine simulator is employed to verify the results from the mathematical model. The results indicate the effectiveness of the proposed controller over the baseline controller.",

keywords = "constrained fuzzy-receding horizon control, fuzzy modeling, Offshore wind-turbine, pitch control, quadratic optimization problem",

author = "Abdelbaky, \{Mohamed Abdelkarim\} and Xiangjie Liu and Xiaobing Kong",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 31st Chinese Control and Decision Conference, CCDC 2019 ; Conference date: 03-06-2019 Through 05-06-2019",

year = "2019",

month = jun,

doi = "10.1109/CCDC.2019.8833438",

language = "English",

series = "Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019",

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Abdelbaky, MA, Liu, X & Kong, X 2019, Wind Turbines Pitch Controller using Constrained Fuzzy-Receding Horizon Control. in Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019., 8833438, Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019, Institute of Electrical and Electronics Engineers Inc., pp. 236-241, 31st Chinese Control and Decision Conference, CCDC 2019, Nanchang, China, 3/06/19. https://doi.org/10.1109/CCDC.2019.8833438

Wind Turbines Pitch Controller using Constrained Fuzzy-Receding Horizon Control. / Abdelbaky, Mohamed Abdelkarim; Liu, Xiangjie; Kong, Xiaobing.
Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 236-241 8833438 (Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Liu, Xiangjie

AU - Kong, Xiaobing

PY - 2019/6

Y1 - 2019/6

N2 - This study concentrates on the variable speed/pitch wind-turbines control for the overrated wind-speed. The pitch control is essential in this high wind-speed to adjust the rated output power. The key challenges of designing a pitch control for the wind-turbine are the constraints in the pitch-angle, wind turbine nonlinearities, the wind-speed variations, and the unmeasured states (unstructured model dynamics). From this point of view, this paper proposes constrained fuzzy-receding horizon pitch control to investigate the variable speed wind turbine performance. The proposed controller guarantees the nominal stability and converted to a simple online quadratic optimization problem which required less computational time to be solved. The proposed controller is compared with the gain scheduled-PI controller (which has been used abundantly in the wind-turbine industry) by applying the wind-turbine mathematical model. Additionally, a typical 5MW offshore wind-turbine simulator is employed to verify the results from the mathematical model. The results indicate the effectiveness of the proposed controller over the baseline controller.

AB - This study concentrates on the variable speed/pitch wind-turbines control for the overrated wind-speed. The pitch control is essential in this high wind-speed to adjust the rated output power. The key challenges of designing a pitch control for the wind-turbine are the constraints in the pitch-angle, wind turbine nonlinearities, the wind-speed variations, and the unmeasured states (unstructured model dynamics). From this point of view, this paper proposes constrained fuzzy-receding horizon pitch control to investigate the variable speed wind turbine performance. The proposed controller guarantees the nominal stability and converted to a simple online quadratic optimization problem which required less computational time to be solved. The proposed controller is compared with the gain scheduled-PI controller (which has been used abundantly in the wind-turbine industry) by applying the wind-turbine mathematical model. Additionally, a typical 5MW offshore wind-turbine simulator is employed to verify the results from the mathematical model. The results indicate the effectiveness of the proposed controller over the baseline controller.

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BT - Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 3 June 2019 through 5 June 2019

ER -

Abdelbaky MA, Liu X, Kong X. Wind Turbines Pitch Controller using Constrained Fuzzy-Receding Horizon Control. In Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 236-241. 8833438. (Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019). doi: 10.1109/CCDC.2019.8833438

Wind Turbines Pitch Controller using Constrained Fuzzy-Receding Horizon Control

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this