Title :
Integrated RBF network based estimation strategy of the output characteristics of brushless DC motors
Author :
Ho, S.L. ; Fei, Minrui ; Fu, W.N. ; Wong, H.C. ; Lo, Edward W C
Author_Institution :
Dept. of Electr. Eng., Hong Kong Polytech., Kowloon, China
fDate :
3/1/2002 12:00:00 AM
Abstract :
The circuit-field coupled model is very accurate but it is computationally inefficient in studying the output performance of brushless DC motors. In order to resolve the problem, an estimation strategy based on an integrated radial basis function (RBF) network is proposed in this paper. The strategy introduces new conceptions of the network group that are being realized by three steps, namely: (1) an adaptive RBF network is proposed for modeling the center network; (2) the RBF network group is then used to build the base networks; and (3) an integrated RBF network based on the base network group is used subsequently to predict the nontrained output characteristics of the brushless DC motor
Keywords :
brushless DC motors; electric machine analysis computing; parameter estimation; radial basis function networks; base networks; brushless DC motors; center network; circuit-field coupled model; estimation strategy; integrated RBF network; integrated radial basis function network; output characteristics; Brushless DC motors; Computational modeling; Coupling circuits; DC motors; Equations; Finite element methods; Magnetic fields; Mathematical model; Radial basis function networks; Voltage;
Journal_Title :
Magnetics, IEEE Transactions on
