Abstract
This paper presents an intelligent control based on a combination of Particle Swarm Optimization (PSO) and integral sliding mode control (ISMC) to control the power of a double-fed induction generator (DFIG) based wind turbine.
Particle Swarm Optimization (PSO) is used to minimize the Integral Time Absolute Error (ITAE) criterion and identify the sliding gain of the proposed controller. The modeling and the control of the DFIG were carried out in the MATLAB/SIMULINK software environment. A comparison between the proposed controller, the conventional SMC, and the conventional PI controller has been done, and the simulation results show the efficiency and good performance of the proposed PSO_ISMC controller compared to the other controllers.
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Elouatouat, H., Essadki, A., Nasser, T. (2023). Integral Sliding Mode Control of a DFIG Based Wind Turbine Using PSO Algorithm. In: Kacprzyk, J., Ezziyyani, M., Balas, V.E. (eds) International Conference on Advanced Intelligent Systems for Sustainable Development. AI2SD 2022. Lecture Notes in Networks and Systems, vol 714. Springer, Cham. https://doi.org/10.1007/978-3-031-35245-4_13
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DOI: https://doi.org/10.1007/978-3-031-35245-4_13
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