Integrated RBF network based estimation strategy of the output characteristics of brushless DC motors

IEEE Transactions on Magnetics

Volumn 38, Issue 2 I, 2002, Pages 1033-1036

  Ho, S L ^a   Fei, Minrui ^b   Fu, W N ^a,c   Wong, H C ^a   Lo, Edward W C ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b SHANGHAI UNIVERSITY   (China)

^c ANSOFT CORPORATION   (United States)

Author keywords

ANN; Brushless dc motor; Finite element; Nonlinear; Radial basis function

Indexed keywords

BACKPROPAGATION; COMPUTER SIMULATION; FINITE ELEMENT METHOD; MATHEMATICAL MODELS; RADIAL BASIS FUNCTION NETWORKS; REAL TIME SYSTEMS;

BRUSHLESS MOTORS;

DC MOTORS;

EID: 0036493296     PISSN: 00189464     EISSN: None     Source Type: Journal    
DOI: 10.1109/20.996265     Document Type: Article

References (10)

1. Recent trends and development in the field of machines and drives, application of fuzzy, neural and other intelligent techniques
2. Training an artificial neural network model of brushless D.C. motor using circuit-field coupled finite element computation
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4. Representation of star-connected stator windings in circuit-field coupled time stepping finite element model of electric machines
5. Multi-level intelligent control using three-step learning strategy: Analysis and implementation
6. Progress in on-line adaptive, learning and evolutionary strategies for fuzzy logic control