Mbukani, Mwana Wa KalagaGitau, Michael NjorogeNaidoo, Raj2024-05-232024-05-232023-03-10Mbukani, M.W.K.; Gitau, M.N.; Naidoo, R. An SMC-MRAS Speed Estimator for Sensor-Less Control of DFIG Systems in Wind Turbine Applications. Energies 2023, 16, 2633. https://DOI.org/10.3390/en16062633.1996-1073 (online)10.3390/en16062633http://hdl.handle.net/2263/96199A 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 tomachine 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.en© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.Speed sensor-less controlSliding mode controlModel reference adaptive systemsField-oriented controlSliding mode control-based model reference adaptive system (SMC-MRAS)Doubly fed induction generator (DFIG)SDG-07: Affordable and clean energyArticle