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 proceedingConference contributionpeer-review

4 Scopus citations


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.

Original languageEnglish
Title of host publicationProceedings of the 6th Brazilian Technology Symposium, BTSym 2020 - Emerging Trends and Challenges in Technology
EditorsYuzo Iano, Osamu Saotome, Guillermo Kemper, Ana Claudia Mendes de Seixas, Gabriel Gomes de Oliveira
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages13
ISBN (Print)9783030756796
StatePublished - 2021
Event6th Brazilian Technology Symposium, BTSym 2020 - Virtual, Online
Duration: 26 Oct 202028 Oct 2020

Publication series

NameSmart Innovation, Systems and Technologies
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026


Conference6th Brazilian Technology Symposium, BTSym 2020
CityVirtual, Online

Bibliographical note

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


  • DFIG
  • DSC
  • FAST
  • Fuzzy
  • MPPT
  • PI
  • Power coefficient
  • Wind turbine


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