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

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

4 Citas (Scopus)

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	Proceedings of the 6th Brazilian Technology Symposium, BTSym 2020 - Emerging Trends and Challenges in Technology
Editores	Yuzo Iano, Osamu Saotome, Guillermo Kemper, Ana Claudia Mendes de Seixas, Gabriel Gomes de Oliveira
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	905-917
Número de páginas	13
ISBN (versión impresa)	9783030756796
DOI	https://doi.org/10.1007/978-3-030-75680-2_100
Estado	Publicada - 2021
Evento	6th Brazilian Technology Symposium, BTSym 2020 - Virtual, Online Duración: 26 oct. 2020 → 28 oct. 2020

Serie de la publicación

Nombre	Smart Innovation, Systems and Technologies
Volumen	233
ISSN (versión impresa)	2190-3018
ISSN (versión digital)	2190-3026

Conferencia

Conferencia	6th Brazilian Technology Symposium, BTSym 2020
Ciudad	Virtual, Online
Período	26/10/20 → 28/10/20

Nota bibliográfica

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

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

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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. En 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).

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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",

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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. En 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).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

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

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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. En Iano Y, Saotome O, Kemper G, Mendes de Seixas AC, Gomes de Oliveira G, editores, 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

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