Recurrent-neural-network-based implementation of a programmablecascaded low-pass filter used in stator flux synthesis ofvector-controlled induction motor drive
Da Silva, L.E.B.; Bose, B.K.; Pinto, J.O.P.
Industrial Electronics, IEEE Transactions on
Volume 46, Issue 3, Jun 1999 Page(s):662 - 665
Digital Object Identifier   10.1109/41.767076
Summary: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

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