Rachidi, M. and Idrissi, B.B. (2016) Adaptive backstepping control for wind turbines with doubly-fed induction generator under unknown parameters. Journal of Theoretical and Applied Information Technology, 91 (1). pp. 158-167.

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This paper deals with an adaptive, nonlinear controller for wind systems connected to a stable electrical grid and using a doubly-fed induction machine as a generator. The study focuses on the case wherein the aerodynamic torque model and winding resistances of the generator are unknown and will be updating in real time. Two objectives were fixed; the first one is speed control, which allows us to force the system to track the optimal torque-speed characteristic of the wind turbine to extract the maximum power, and the second deals with the control of the reactive power transmitted to the electrical grid. The mathematical development, both for the model of the global system and the control and update laws, is examined in detail. The control design is investigated using a backstepping technique, and the overall stability of the system is shown by employing the Lyapunov theory. The results of the simulation, which was built on Matlab-Simulink, confirm when compared with control without adaptation, the validity of this work and the robustness of our control in the presence of parametric fluctuations or uncertainty modeling. © 2005 - 2016 JATIT & LLS. All rights reserved.

Item Type: Article
Subjects: Computer Science
Divisions: SCIENTIFIC PRODUCTION > Computer Science
Depositing User: Administrateur Eprints Administrateur Eprints
Last Modified: 31 Jan 2020 15:46
URI: http://eprints.umi.ac.ma/id/eprint/2572

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