Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11474
Title: Adaptive directive neural network control for three-phase AC/DC PWM converter
Authors: Cheng, KWE 
Wang, HY
Sutanto, D
Issue Date: 2001
Publisher: The Institution of Engineering and Technology
Source: IEE proceedings. Electric power applications, 2001, v. 148, no. 5, p. 425-430 How to cite?
Journal: IEE proceedings. Electric power applications 
Abstract: A novel control strategy is proposed: adaptive B-spline neural network for three-phase AC/DC voltage source converters, which realises a sinusoidal AC input current and unity power factor. Compared with other PWM techniques, neural network control provides an excellent component of a nonlinear system and is adaptive enough to fit the environment change. An on-line B-spline neural network is used because of its local weight updating characteristic, which has the advantages of fast convergence speed and low computation complexity. This is very important for real-time control applications. Both simulation and experimental results are presented to verify the effectiveness of the proposed control strategy.
URI: http://hdl.handle.net/10397/11474
ISSN: 1350-2352
DOI: 10.1049/ip-epa:20010564
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