Abstract
This work presents a nonlinear control strategy called Super Twisting Sliding Mode Control (STSMC). It is applied to Wind Energy Conversion System (WECS), the main goal is to control the active and reactive stator powers of the Doubly Fed Induction Generator (DFIG) and the wind turbine speed generated by the Maximum Power Point Tracking (MPPT).
Particle Swarm Optimization (PSO) is used to tune the parameters of five sliding surfaces, by selecting an objective function. The proposed PSO-STSMC approach reduces powers and currents ripples while maintaining the Sliding Mode Control (SMC) advantages such as robustness. Simulation results show the effectiveness of the proposed strategy in reducing the chattering phenomenon.
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Gasmi, H., Mendaci, S., Kantas, W. (2022). Wind Energy Conversion System Controlled by Particle Swarm Optimization Super Twisting Sliding Mode Control Equipped with Doubly Fed Induction Generator. In: Hatti, M. (eds) Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities. IC-AIRES 2021. Lecture Notes in Networks and Systems, vol 361. Springer, Cham. https://doi.org/10.1007/978-3-030-92038-8_8
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DOI: https://doi.org/10.1007/978-3-030-92038-8_8
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