Implementation of a Neuro-Fuzzy Direct Torque and Reactive Power Control for Doubly Fed Induction Motor
نویسندگان
چکیده
This paper proposes a Takagi-Sugeno neuro-fuzzy inference system for direct torque and stator reactive power control applied to a doubly fed induction motor. The control variables (d-axis and q-axis rotor voltages) are determined through a control system composed by a neuro-fuzzy inference system and a first order Takagi-Sugeno fuzzy logic controller. Experimental results are presented to validate the controller operation for variable speed under no-load and load conditions and stator reactive power variation under load condition. For this last validation, a PI controller is used to control the rotor speed, thereby its output is used to manipulate the torque in order to follow the demanded speed value. Streszczenie. W artykule opisano inferencyjny neuro-fuzzy system Takagi-Sugeno użyty do sterowania momentem i mocą bierną w podwójnie zasilanym silniku indukcyjnym. Przeprowadzono eksperymenty sterowania silnikiem obciążonym i nieobciążonym.(Zastosowanie systemu neurofuzzy do sterowania momentem i mocą bierną w podwójnie zasilanym silniku indukcyjnym)
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