Title :
Multi-layer feed-forward modular network for induction motor
Author :
Chatterjee, Pradeep ; Karan, B.M. ; Sinha, P.K.
Author_Institution :
TATA Eng., Ranchi, India
fDate :
6/24/1905 12:00:00 AM
Abstract :
Multilayer feed-forward (MLFF) network has been implemented in various fields of engineering applications. A multilayer feed-forward modular (MLFFM) network has been developed for better performance of feed-forward neural networks. The MLFFM network has been implemented in an induction motor application and the results have been compared with a MLFF network
Keywords :
electrical engineering computing; feedforward neural nets; induction motors; multilayer perceptrons; parameter estimation; MLFF network; MLFFM network; flux angle estimation; induction motor; multilayer feed-forward modular network; multilayer feedforward modular network; torque estimation; Couplings; Current transformers; Feedforward systems; Inductance; Induction generators; Induction motors; Neural networks; Neurons; Torque control; Voltage;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1005494
