Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/862
Title: Direct self control of induction motor based on neural network
Authors: Shi, K. L.
Chan, T. F.
Wong, Yiu-kwong
Ho, Siu-lau
Subjects: Direct self control
Induction motor drive
Matlab/Simulink
Neural networks
Issue Date: Sep-2001
Publisher: IEEE
Source: IEEE transactions on industry applications, Sept./Oct. 2001, v. 37, no. 5, p. 1290-1298.
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.
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Type: Journal/Magazine Article
URI: http://hdl.handle.net/10397/862
DOI: 10.1109/28.952504
ISSN: 0093-9994
Appears in Collections:EE Journal/Magazine Articles

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