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- W2391293359 abstract "Exact estimation of stator resistance is the key technology to improve the low speed performance of direct torque control.To improve the accuracy and speed of on-line stator resistance estimation,a self-organization wavelet neural network estimator is proposed in this paper by combining wavelet analysis,self-organization algorithm and neural network technology together.The proposed network inherits the excellent local performance of wavelet analysis and the self-learning ability of neural network to get high estimation accuracy,and its wavelet number is optimized off-line by using self-organization algorithm to simplify the network structure and improve the on-line estimation speed." @default.
- W2391293359 created "2016-06-24" @default.
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- W2391293359 date "2007-01-01" @default.
- W2391293359 modified "2023-09-23" @default.
- W2391293359 title "Stator resistance estimator based on self-organization wavelet neural network" @default.
- W2391293359 hasPublicationYear "2007" @default.
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