Name
Title | ||
|---|---|---|
Using Wavelet Based Neural Networks for Feedback Signals Estimation of a Vector Controlled Induction Motor Drive |
Abstract | ||
|---|---|---|
In this investigation, a vector controlled induction motor drive is simulated and the feedback signals of this vector controlled drive are estimated using neural networks. The neural networks receive the machine terminal signals as inputs and estimate the rotor flux and unit vectors cos*** e and sin*** e as outputs. These outputs are used in the vector controlled drive system. The calculated feedback signals by the neural networks are not sensitive to the motor parameter variations. In this paper, three types of neural networks (i.e. multilayer perceptron (MLP), radial basis function (RBF) and wavenet) are used and the obtained results are compared. Finally, on the basis of the advantages of wavenets, the results prove the accuracy and effectiveness of the wavenet based estimator. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-01507-6_96 | ISNN (1) |
Keywords | Field | DocType |
calculated feedback signal,neural network,machine terminal signal,radial basis function,feedback signals estimation,feedback signal,induction motor drive,motor parameter variation,drive system,neural networks,multilayer perceptron,rotor flux,vector controlled induction motor,induction motor,vector control | Radial basis function,Control theory,Computer science,Rotor flux,Multilayer perceptron,Artificial intelligence,Artificial neural network,Wavelet,Induction motor,Pattern recognition,Machine learning,Unit vector,Estimator | Conference |
Volume | ISSN | Citations |
5551 | 0302-9743 | 1 |
PageRank | References | Authors |
0.40 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hassan Moghbelli | 1 | 1 | 0.73 |
| A. Rahideh | 2 | 29 | 3.92 |
| A.A. Safavi | 3 | 11 | 6.36 |