Perturbation Estimation Based Nonlinear Adaptive Power Decoupling Control for DFIG Wind Turbine

Kai Shi, Xin Yin, Lin Jiang*, Yang Liu, Yihua Hu, Huiqing Wen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

40 Citations (Scopus)


This paper proposes a perturbation estimation based nonlinear adaptive power decoupling controller for doubly fed induction generator based wind turbines (DFIG-WTs). Perturbation states are defined to include the nonlinearities, uncertainties of the system model, the cross-coupling between control loops, and external disturbances. Perturbation observers are designed to estimate the fast time-varying perturbation states. With perturbation estimation, the DFIG-WT system is fully decoupled, and an output feedback control can be designed for the control of rotor currents. Rotor current references are calculated based on the steady-state relation between active/reactive power and rotor current, and stator dynamic is ignored. The performance of the proposed controller is evaluated and verified via both simulation and experimental tests.

Original languageEnglish
Article number8693553
Pages (from-to)319-333
Number of pages15
JournalIEEE Transactions on Power Electronics
Issue number1
Publication statusPublished - Jan 2020
Externally publishedYes


  • Doubly fed induction generator based wind turbine (DFIG-WT)
  • nonlinear adaptive control
  • perturbation estimation
  • power control

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