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An SMC-MRAS Speed Estimator for Sensor-Less Control of DFIG Systems in Wind Turbine Applications

Author

Listed:
  • Mwana Wa Kalaga Mbukani

    (Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa)

  • Michael Njoroge Gitau

    (Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa)

  • Raj Naidoo

    (Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa)

Abstract

A sliding mode control-based model reference adaptive system (SMC-MRAS) estimator for sensor-less control of doubly fed induction generator (DFIG) systems in wind turbine applications is proposed in this paper. The proposed SMC-MRAS estimator uses the rotor current as a variable of interest. The proposed SMC-MRAS estimator has the advantage of being immune to machine parameter variations. The SMC parameters are designed using the Lyapunov stability criteria. The performance of the proposed SMC-MRAS estimator is validated using simulations in MATLAB/SIMULINK. A comparative study between the proposed SMC-MRAS estimator and the PI-MRAS estimator is also conducted to demonstrate the superiority of the proposed SMC-MRAS estimator.

Suggested Citation

  • Mwana Wa Kalaga Mbukani & Michael Njoroge Gitau & Raj Naidoo, 2023. "An SMC-MRAS Speed Estimator for Sensor-Less Control of DFIG Systems in Wind Turbine Applications," Energies, MDPI, vol. 16(6), pages 1-15, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2633-:d:1094034
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