Please use this identifier to cite or link to this item:
Title: Direct self control of induction motor based on neural network
Authors: Shi, KL
Chan, TF
Wong, YK 
Ho, SL 
Issue Date: 2000
Source: Conference record - IAS Annual Meeting (IEEE Industry Applications Society), 2000, v. 3, p. 1380-1387 How to cite?
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 DSC, the proposed ANN system employs the individual training strategy with the fixed-weight and the 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 DSP-based DSC, the proposed ANN-based scheme incurs much shorter execution times and hence the errors caused by control time delays are minimized.
Description: 35th IAS Annual Meeting and Wolrd Conference on Industrial Applications of Electrical Energy, Rome, Italy, 8-12 October 2000
ISSN: 0197-2618
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

Last Week
Last month
Citations as of Aug 13, 2018

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.