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Title: Direct self control of induction motor based on neural network
Authors: Shi, KL
Chan, TF
Wong, YK
Ho, SL 
Keywords: Direct self control
Induction motor drive
Neural networks
Issue Date: Sep-2001
Publisher: IEEE
Source: IEEE transactions on industry applications, Sept./Oct. 2001, v. 37, no. 5, p. 1290-1298 How to cite?
Journal: IEEE transactions on industry applications 
Abstract: This paper presents an artificial-neural-network-based direct-self-control (ANN-DSC) scheme for an inverter-fed three-phase induction motor. In order to cope with the complex calculations required in direct self control (DSC), the proposed artificial-neural-network (ANN) system employs the individual training strategy with fixed-weight and supervised models. A computer simulation program is developed using Matlab/Simulink together with the Neural Network Toolbox. The simulated results obtained demonstrate the feasibility of ANN-DSC. Compared with the classical digital-signal-processor-based DSC, the proposed ANN-based scheme incurs much shorter execution times and, hence, the errors caused by control time delays are minimized.
ISSN: 0093-9994
DOI: 10.1109/28.952504
Rights: © 2001 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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