Fuzzy PID Control System Analysis for a Wind Turbine Maximum Power Point Tracking Using FAST and Matlab Simulink

Eduardo Muñoz; Edy Ayala; Nicolás Pozo; Silvio Simani

doi:10.1007/978-3-030-75680-2_100

Fuzzy PID Control System Analysis for a Wind Turbine Maximum Power Point Tracking Using FAST and Matlab Simulink

Eduardo Muñoz
, Edy Ayala
, Nicolás Pozo
, Silvio Simani

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

5 Scopus citations

Abstract

The present research proposes a control method applied to a Wind Power Generation Systems (WEGS) for Maximum Power Point Tracking (MPPT) technique based on a Mamdani Fuzzy observer and complemented by a Proportional and Integral (PI) controller using the Direct Speed Control (DSC). This approach allows commanding the rotor side reference current i_qr through the variations of the electromagnetic torque and active electrical power in a Doubly Fed Induction Generator (DFIG) model. Consequently, the speed of the generator is controlled to ensure obtaining a rapid response of the maximum Power Coefficient (C_p ). This strategy’s construction starts with direct measurements of the electrical and mechanical variables using computational tools such as FAST and Matlab-Simulink for simulations of a 1.5MW wind turbine model. This DSC strategy presents a rapid performance regarding the tracking of the maximum C_p considering the wind turbine dynamics. This approach contrasts with a traditional PI controller improving the extracted power to analyze the proposed procedure.

Original language	English
Title of host publication	Proceedings of the 6th Brazilian Technology Symposium, BTSym 2020 - Emerging Trends and Challenges in Technology
Editors	Yuzo Iano, Osamu Saotome, Guillermo Kemper, Ana Claudia Mendes de Seixas, Gabriel Gomes de Oliveira
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	905-917
Number of pages	13
ISBN (Print)	9783030756796
DOIs	https://doi.org/10.1007/978-3-030-75680-2_100
State	Published - 2021
Event	6th Brazilian Technology Symposium, BTSym 2020 - Virtual, Online Duration: 26 Oct 2020 → 28 Oct 2020

Publication series

Name	Smart Innovation, Systems and Technologies
Volume	233

Conference

Conference	6th Brazilian Technology Symposium, BTSym 2020
City	Virtual, Online
Period	26/10/20 → 28/10/20

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

DFIG
DSC
FAST
Fuzzy
MPPT
PI
Power coefficient
Wind turbine

CACES Knowledge Areas

317A Electricity and Energy

Access to Document

10.1007/978-3-030-75680-2_100

Cite this

Muñoz, E., Ayala, E., Pozo, N., & Simani, S. (2021). Fuzzy PID Control System Analysis for a Wind Turbine Maximum Power Point Tracking Using FAST and Matlab Simulink. In Y. Iano, O. Saotome, G. Kemper, A. C. Mendes de Seixas, & G. Gomes de Oliveira (Eds.), Proceedings of the 6th Brazilian Technology Symposium, BTSym 2020 - Emerging Trends and Challenges in Technology (pp. 905-917). (Smart Innovation, Systems and Technologies; Vol. 233). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-75680-2_100

Muñoz, Eduardo ; Ayala, Edy ; Pozo, Nicolás et al. / Fuzzy PID Control System Analysis for a Wind Turbine Maximum Power Point Tracking Using FAST and Matlab Simulink. Proceedings of the 6th Brazilian Technology Symposium, BTSym 2020 - Emerging Trends and Challenges in Technology. editor / Yuzo Iano ; Osamu Saotome ; Guillermo Kemper ; Ana Claudia Mendes de Seixas ; Gabriel Gomes de Oliveira. Springer Science and Business Media Deutschland GmbH, 2021. pp. 905-917 (Smart Innovation, Systems and Technologies).

@inproceedings{252e8be959994c04a37e56b36dcae466,

title = "Fuzzy PID Control System Analysis for a Wind Turbine Maximum Power Point Tracking Using FAST and Matlab Simulink",

abstract = "The present research proposes a control method applied to a Wind Power Generation Systems (WEGS) for Maximum Power Point Tracking (MPPT) technique based on a Mamdani Fuzzy observer and complemented by a Proportional and Integral (PI) controller using the Direct Speed Control (DSC). This approach allows commanding the rotor side reference current iqr through the variations of the electromagnetic torque and active electrical power in a Doubly Fed Induction Generator (DFIG) model. Consequently, the speed of the generator is controlled to ensure obtaining a rapid response of the maximum Power Coefficient (Cp ). This strategy{\textquoteright}s construction starts with direct measurements of the electrical and mechanical variables using computational tools such as FAST and Matlab-Simulink for simulations of a 1.5MW wind turbine model. This DSC strategy presents a rapid performance regarding the tracking of the maximum Cp considering the wind turbine dynamics. This approach contrasts with a traditional PI controller improving the extracted power to analyze the proposed procedure.",

keywords = "DFIG, DSC, FAST, Fuzzy, MPPT, PI, Power coefficient, Wind turbine",

author = "Eduardo Mu{\~n}oz and Edy Ayala and Nicol{\'a}s Pozo and Silvio Simani",

note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 6th Brazilian Technology Symposium, BTSym 2020 ; Conference date: 26-10-2020 Through 28-10-2020",

year = "2021",

doi = "10.1007/978-3-030-75680-2\_100",

language = "English",

isbn = "9783030756796",

series = "Smart Innovation, Systems and Technologies",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "905--917",

editor = "Yuzo Iano and Osamu Saotome and Guillermo Kemper and \{Mendes de Seixas\}, \{Ana Claudia\} and \{Gomes de Oliveira\}, Gabriel",

booktitle = "Proceedings of the 6th Brazilian Technology Symposium, BTSym 2020 - Emerging Trends and Challenges in Technology",

address = "Germany",

}

Muñoz, E, Ayala, E, Pozo, N & Simani, S 2021, Fuzzy PID Control System Analysis for a Wind Turbine Maximum Power Point Tracking Using FAST and Matlab Simulink. in Y Iano, O Saotome, G Kemper, AC Mendes de Seixas & G Gomes de Oliveira (eds), Proceedings of the 6th Brazilian Technology Symposium, BTSym 2020 - Emerging Trends and Challenges in Technology. Smart Innovation, Systems and Technologies, vol. 233, Springer Science and Business Media Deutschland GmbH, pp. 905-917, 6th Brazilian Technology Symposium, BTSym 2020, Virtual, Online, 26/10/20. https://doi.org/10.1007/978-3-030-75680-2_100

Fuzzy PID Control System Analysis for a Wind Turbine Maximum Power Point Tracking Using FAST and Matlab Simulink. / Muñoz, Eduardo; Ayala, Edy; Pozo, Nicolás et al.
Proceedings of the 6th Brazilian Technology Symposium, BTSym 2020 - Emerging Trends and Challenges in Technology. ed. / Yuzo Iano; Osamu Saotome; Guillermo Kemper; Ana Claudia Mendes de Seixas; Gabriel Gomes de Oliveira. Springer Science and Business Media Deutschland GmbH, 2021. p. 905-917 (Smart Innovation, Systems and Technologies; Vol. 233).

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

TY - GEN

T1 - Fuzzy PID Control System Analysis for a Wind Turbine Maximum Power Point Tracking Using FAST and Matlab Simulink

AU - Muñoz, Eduardo

AU - Ayala, Edy

AU - Pozo, Nicolás

AU - Simani, Silvio

PY - 2021

Y1 - 2021

N2 - The present research proposes a control method applied to a Wind Power Generation Systems (WEGS) for Maximum Power Point Tracking (MPPT) technique based on a Mamdani Fuzzy observer and complemented by a Proportional and Integral (PI) controller using the Direct Speed Control (DSC). This approach allows commanding the rotor side reference current iqr through the variations of the electromagnetic torque and active electrical power in a Doubly Fed Induction Generator (DFIG) model. Consequently, the speed of the generator is controlled to ensure obtaining a rapid response of the maximum Power Coefficient (Cp ). This strategy’s construction starts with direct measurements of the electrical and mechanical variables using computational tools such as FAST and Matlab-Simulink for simulations of a 1.5MW wind turbine model. This DSC strategy presents a rapid performance regarding the tracking of the maximum Cp considering the wind turbine dynamics. This approach contrasts with a traditional PI controller improving the extracted power to analyze the proposed procedure.

AB - The present research proposes a control method applied to a Wind Power Generation Systems (WEGS) for Maximum Power Point Tracking (MPPT) technique based on a Mamdani Fuzzy observer and complemented by a Proportional and Integral (PI) controller using the Direct Speed Control (DSC). This approach allows commanding the rotor side reference current iqr through the variations of the electromagnetic torque and active electrical power in a Doubly Fed Induction Generator (DFIG) model. Consequently, the speed of the generator is controlled to ensure obtaining a rapid response of the maximum Power Coefficient (Cp ). This strategy’s construction starts with direct measurements of the electrical and mechanical variables using computational tools such as FAST and Matlab-Simulink for simulations of a 1.5MW wind turbine model. This DSC strategy presents a rapid performance regarding the tracking of the maximum Cp considering the wind turbine dynamics. This approach contrasts with a traditional PI controller improving the extracted power to analyze the proposed procedure.

KW - DFIG

KW - DSC

KW - FAST

KW - Fuzzy

KW - MPPT

KW - PI

KW - Power coefficient

KW - Wind turbine

UR - https://www.scopus.com/pages/publications/85111358491

U2 - 10.1007/978-3-030-75680-2_100

DO - 10.1007/978-3-030-75680-2_100

M3 - Conference contribution

AN - SCOPUS:85111358491

SN - 9783030756796

T3 - Smart Innovation, Systems and Technologies

SP - 905

EP - 917

BT - Proceedings of the 6th Brazilian Technology Symposium, BTSym 2020 - Emerging Trends and Challenges in Technology

A2 - Iano, Yuzo

A2 - Saotome, Osamu

A2 - Kemper, Guillermo

A2 - Mendes de Seixas, Ana Claudia

A2 - Gomes de Oliveira, Gabriel

PB - Springer Science and Business Media Deutschland GmbH

T2 - 6th Brazilian Technology Symposium, BTSym 2020

Y2 - 26 October 2020 through 28 October 2020

ER -

Muñoz E, Ayala E, Pozo N, Simani S. Fuzzy PID Control System Analysis for a Wind Turbine Maximum Power Point Tracking Using FAST and Matlab Simulink. In Iano Y, Saotome O, Kemper G, Mendes de Seixas AC, Gomes de Oliveira G, editors, Proceedings of the 6th Brazilian Technology Symposium, BTSym 2020 - Emerging Trends and Challenges in Technology. Springer Science and Business Media Deutschland GmbH. 2021. p. 905-917. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-3-030-75680-2_100

Fuzzy PID Control System Analysis for a Wind Turbine Maximum Power Point Tracking Using FAST and Matlab Simulink

Abstract

Publication series

Conference

Bibliographical note

Keywords

CACES Knowledge Areas

Access to Document

Other files and links

Fingerprint

Cite this