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

Luiz E.B. Da Silva, Bimal K. Bose, Joao O.P. Pinto

Research output: Contribution to journalArticlepeer-review

46 Scopus citations

Abstract

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 being proposed here 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.

Original languageEnglish
Pages (from-to)662-665
Number of pages4
JournalIEEE Transactions on Industrial Electronics
Volume46
Issue number3
DOIs
StatePublished - 1999
Externally publishedYes

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