Name
Title | ||
|---|---|---|
Recurrent-Neural-Network-Based Implementation Of A Programmable Cascaded Low-Pass Filter Used In Stator Flux Synthesis Of Vector-Controlled Induction Motor Drive |
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. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1109/41.767076 | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS |
Keywords | Field | DocType |
flux estimation, induction motor drive, polynomial neural network, recurrent neural network, vector control | Vector control,Induction motor,Control theory,Recurrent neural network,Electronic engineering,Kalman filter,Control engineering,Low-pass filter,Stator,Engineering,Artificial neural network,Cascaded integrator–comb filter | Journal |
Volume | Issue | ISSN |
46 | 3 | 0278-0046 |
Citations | PageRank | References |
9 | 3.05 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| l e borges da silva | 1 | 9 | 3.39 |
| Bimal K. Bose | 2 | 166 | 19.45 |
| João O. P. Pinto | 3 | 30 | 8.37 |