Identification of Induction Motor Parameters in Industrial Drives with Artificial Neural Networks
This paper presents a new method of online estimation of the stator and rotor resistance of the induction motor in the indirect vector-controlled drive, with artificial neural networks. The back propagation algorithm is used for training of the neural networks. The error between the rotor flux linka...
Saved in:
| Main Authors: | Baburaj Karanayil, Muhammed Fazlur Rahman, Colin Grantham |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2009-01-01
|
| Series: | Advances in Fuzzy Systems |
| Online Access: | http://dx.doi.org/10.1155/2009/241809 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Online-Identification of Electromagnetic Parameters of an Induction Motor
by: V. K. Tytiuk, et al.
Published: (2020-10-01) -
An Offline Identification Method of Mutual-inductance Parameters between Stator and Rotor of Induction Motor
by: NIU Ying, et al.
Published: (2012-01-01) -
Parameter Identification of Induction Motor Considering Soft Starter Characteristics
by: Pooreum Jang, et al.
Published: (2025-01-01) -
Experimental research on improving the energy efficiency of industrial-site induction motor drives
by: Dinolova Plamena, et al.
Published: (2025-01-01) -
Enhanced Topology of Induction Motor Drive
by: Ali Abedini, et al.
Published: (2024-02-01)