Title :
An auto-tuning algorithm for the IRBF network of brushless DC motor
Author :
Ho, S.L. ; Fei, M.R. ; Cheng, K.W.E. ; Wong, H.C.
Author_Institution :
Dept. of Electr. Eng., Hong Kong Polytech. Univ., China
fDate :
3/1/2004 12:00:00 AM
Abstract :
The integrated radial basis function (IRBF) network has been reported as an efficient algorithm to study the performance of brushless dc motors. However, such an algorithm cannot be implemented readily since it is difficult to auto-tune or even to find the undetermined coefficients in the integrated RBF network. In this paper, a novel auto-tuning algorithm that can effectively guarantee the automatic implementation of the integrated RBF network of a brushless dc motor is reported.
Keywords :
DC motors; finite element analysis; radial basis function networks; IRBF network; autotuning algorithm; brushless dc motors; finite element methods; integrated radial basis function; neural network; Adaptive systems; Artificial neural networks; Brushless DC motors; Circuit simulation; Computational modeling; Coupling circuits; Finite element methods; Radial basis function networks; Stators; Voltage;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2004.824802
