Title :
Synthesis of neural networks for rotor flux identification in asynchronous motor control
Author :
Bottaro, A. ; Landi, A. ; Monti, A. ; Riva, M. ; Storti-Gajani, G.
Author_Institution :
Dipt. di Elettrotecnica, Politecnico di Milano, Italy
Abstract :
This paper describes an application of neural networks as non-linear observers. The synthesis of such a network has been conducted on the basis of original criteria for the determination of the number of neurones and for the particular pattern selection method tailored onto the characteristics of the experiment. Possible extensions of such approaches are then considered.
Keywords :
identification; induction motors; machine control; neurocontrollers; nonlinear control systems; observers; rotors; asynchronous motor control; neural networks; neurones; nonlinear observers; pattern selection method; rotor flux identification; Control system synthesis; Differential equations; Intelligent networks; Motor drives; Network synthesis; Neural networks; Nonlinear equations; Pattern analysis; Rotors; Stators;
Conference_Titel :
Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on
Print_ISBN :
0-7803-3694-1
DOI :
10.1109/MWSCAS.1997.662313
