Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29412
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
URI: http://hdl.handle.net/10397/29412
ISSN: 0197-2618
Appears in Collections:Conference Paper

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