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Recurrent-neural-network-based implementation of a programmable cascaded low-pass filter used in stator flux synthesis of vector-controlled induction motor drive

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3 Author(s)
L. E. B. Da Silva ; Dept. of Electr. Eng., Tennessee Univ., Knoxville, TN ; B. K. Bose ; J. O. P. Pinto

The concept of programmable cascaded low-pass filter for stator flux vector synthesis by ideal integration of stator voltages at any frequency was introduced by Bose and Patel. A new form of implementation of this filter is proposed that uses a combination of recurrent neural network trained by Kalman filter and a polynomial neural network. The proposed structure is simple, permits faster implementation by digital signal processor, and gives improved performance

Published in:

IEEE Transactions on Industrial Electronics  (Volume:46 ,  Issue: 3 )