Universal power control of brushless doubly-fed reluctance generators for wind energy conversion

Milutin G. Jovanovic*, Mohammadreza Aghakashkooli

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

This paper presents a novel sensorless vector control approach for wind power applications of brushless doubly fed reluctance generators (BDFRGs), developed to operate entirely independent of machine parameters. The method employs a model reference adaptive system (MRAS) with dynamic inductance ratio estimation to determine rotor speed and position with unmatched accuracy compared to existing MRAS-based solutions, thereby enabling effective and decoupled regulation of both active and reactive power via the grid-connected winding, without reliance on a vulnerable shaft-mounted rotor position sensor. A notable advantage of the proposed control technique is its universal applicability to various BDFRG configurations and ratings, removing the need for pre-identified parameters or cumbersome offline characterisation. The controller’s ability to accurately track maximum power points and effectively reject disturbances across the base speed operating region has been demonstrated through extensive real-time simulations and hardware-in-the-loop testing, using MW-scale wind turbine models and a high-performance dSPACE® system for control development and validation.
Original languageEnglish
Article number111351
Pages (from-to)1-10
Number of pages10
JournalInternational Journal of Electrical Power & Energy Systems
Volume173
Early online date11 Nov 2025
DOIs
Publication statusPublished - 1 Dec 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Doubly fed reluctance generator
  • Encoderless wind turbines
  • Model reference adaptive control
  • Online estimation
  • Machine parameter independence

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