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Communication Dans Un Congrès Année : 2018

Fuzzy Logic Control of a Low Speed Six-Phase Induction Generator for Wind Turbines

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Résumé

In this paper, a fuzzy logic control strategy for a low speed squirrel cage 6-phase induction generator (SC6PIG) connected to a full-scale back-to-back converter structure is proposed and tested experimentally on a 24kW test bed that represents a 1/100 of a real wind turbine multiphase generator (2.5MW). Indeed, the aim is to propose a suitable control algorithm that allows the electrical generation despite the loss of one to three phases on the generator or converter sides. Moreover, the generator pole number is increased to simplify or eliminate the gearbox in such a way as to reduce mechanical sensitivity. In this way, by multiplying the phase and pole numbers of the generator, the robustness against mechanical and electrical faults is improved compared to that of a classic 3-phase generator associated with a gearbox. Simulation and experimental tests of the fuzzy logic controller carried out on a 24kW-230V-24-pole SC6PIG in healthy and faulty mode assess the feasibility and capacity of the proposed strategy.
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Dates et versions

hal-03629895 , version 1 (04-04-2022)

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  • HAL Id : hal-03629895 , version 1

Citer

Alin Pantea, Tri Nurwati, Amine Yazidi, Franck Betin, Sébastien Carrière, et al.. Fuzzy Logic Control of a Low Speed Six-Phase Induction Generator for Wind Turbines. IECON 2018 - 44TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, Oct 2018, Washington DC, United States. pp.5813-5818. ⟨hal-03629895⟩
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