A Maximum Power Point Tracking Control Method for Wind Turbines with Uncertainties Based on Fully Actuated System Theory

  • Yuhan Xu*
  • , Zelong Wu
  • , Le Wei
  • , Ying Zhang
  • , Fang Fang
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, the maximum power point tracking (MPPT) control problem for wind turbine systems with multi-uncertainties is considered. A tracking controller of optimal tip speed ratio is proposed based on fully actuated system (FAS) approach. First, the dynamics of wind turbines in the region below rated wind speed is represented in FAS model. Then, with the analysis of multi-uncertainties in operation of wind turbines, an extended state observer (ESO) is designed to estimate the uncertainties. A controller with uncertainty-compensation ability is proposed based on FAS theory to obtain a closed-loop tracking system of rotor speed with fully actuated characteristics. Theorems are given to show the advantages on stability analysis, parameters selection under constraints and engineering regulation of FAS approach in MPPT control of wind turbines. Finally, an example of 5MW wind turbine of NREL is given for simulation. The results indicate the effectiveness of the proposed approach for MPPT control.

Original languageEnglish
Title of host publicationProceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages845-850
Number of pages6
ISBN (Electronic)9798350332162
DOIs
StatePublished - 2023
Externally publishedYes
Event2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023 - Qingdao, China
Duration: 14 Jul 202316 Jul 2023

Publication series

NameProceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023

Conference

Conference2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023
Country/TerritoryChina
CityQingdao
Period14/07/2316/07/23

Keywords

  • Extended State Observer
  • Fully Actuated System
  • Maximum Power Point Tracking
  • Wind Turbines

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