Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1446
Title: Analogue implementation of a neural network controller for UPS inverter applications
Authors: Sun, Xiao
Chow, Martin H. L.
Leung, Frank H. F.
Xu, Dehong
Wang, Yousheng
Lee, Yim-shu
Subjects: Neural network control
UPS inverter
Issue Date: May-2002
Publisher: IEEE
Source: IEEE transactions on power electronics, May 2002, v. 17, no. 3, p. 305-313.
Abstract: An analogue neural-network controller for UPS inverter applications is presented. The proposed neural-network controller is trained off-line using patterns obtained from a simulated controller, which had an idealized load-current-reference. Simulation results show that the proposed neural-network controller can achieve low total harmonic distortion under nonlinear loading condition and good dynamic responses under transient loading condition. To verify the performance of the proposed NN controller, a hardware inverter with an analogue neural network (NN) controller (using mainly operational amplifiers and resistors) is built. Additionally, for comparison purposes, a PI controller with optimized parameters is built. Experimental results confirm the simulation results and show the superior performance of the NN controller especially under rectifier-type loading condition. Implementing the analogue neural-network controller using programmable integrated circuits is also discussed.
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Type: Journal/Magazine Article
URI: http://hdl.handle.net/10397/1446
DOI: 10.1109/TPEL.2002.1004238
ISSN: 0885-8993
Appears in Collections:EIE Journal/Magazine Articles

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