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• W2028723095 abstract "A new method of SRG Position Sensorless based on Self-adaptive Fuzzy Neural Network by using Finite Element Analysis is proposed in this paper. Through current and magnetic linkage to get angle of SRG rotor position, so the nonlinear mapping of current-magnetic linkage-angle can be built. By training these sample data, the angle of SRG rotor position can replaced by the output of ANFIS, to achieve SRG Position Sensorless. Simulation results show that the error of between actual rotor position and estimate rotor position is small, SRG can commutate with great accuracy, the output voltage of SRG in variable-speed directly driven wind power generation systems is essentially constant, and SRG is working well." @default.
• W2028723095 created "2016-06-24" @default.
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• W2028723095 date "2011-03-01" @default.
• W2028723095 modified "2023-09-24" @default.
• W2028723095 title "Research of Switched Reluctance Generator Position Sensorless Based on ANFIS by Using Finite Element Analysis" @default.
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• W2028723095 doi "https://doi.org/10.1109/appeec.2011.5748973" @default.
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