DocumentCode :
3138684
Title :
Compact artificial neural network for induction motor speed estimation
Author :
Goedtel, A. ; da Silva, I.N. ; Suetake, M. ; Nascimento, C. F Do ; Da Silva, S. A O
Author_Institution :
Dept. of Electrotechnic, Fed. Univ. of Technol., Cornelio Procopio, Brazil
fYear :
2009
fDate :
15-18 Nov. 2009
Firstpage :
1
Lastpage :
6
Abstract :
The use of sensorless technologies is an increasing tendency on industrial drives for electrical machines. The estimation of electrical and mechanical parameters involved with the electrical machine control is very frequently used in order to avoid measurement of all variables involved in this process. The cost reduction may also be considered in industrial drives, besides the increasing robustness of the system, as an advantage of the use of sensorless technologies. This work proposes a reduced artificial neural network structure to estimate one of the most important variables in the induction motor control schemes: the speed. Simulation results are presented to validate the proposed approach.
Keywords :
angular velocity control; electric machine analysis computing; induction motors; neural nets; parameter estimation; sensorless machine control; artificial neural network; electrical machine control; induction motor control schemes; induction motor speed estimation; industrial drives; system identification; Artificial neural networks; Costs; Electric variables control; Electrical equipment industry; Induction motors; Mechanical variables control; Sensorless control; State estimation; Stators; Voltage; Induction motors; artificial neural networks; speed estimation; system identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Machines and Systems, 2009. ICEMS 2009. International Conference on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4244-5177-7
Electronic_ISBN :
978-4-88686-067-5
Type :
conf
DOI :
10.1109/ICEMS.2009.5382764
Filename :
5382764
Link To Document :
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