Zouggar, S., Nait-Charif, H. and Azizi, M., 2000. Neural control and transient analysis of the LCL-type resonant converter. The European Physical Journal - Applied Physics, 11 (1), pp. 21-27.
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Official URL: http://www.edpsciences.org/10.1051/epjap:2000142
This paper proposes a generalised inverse learning structure to control the LCL converter. A feedforward neural network is trained to act as an inverse model of the LCL converter then both are cascaded such that the composed system results in an identity mapping between desired response and the LCL output voltage. Using the large signal model, we analyse the transient output response of the controlled LCL converter in the case of large variation of the load. The simulation results show the efficiency of using neural networks to regulate the LCL converter.
|Subjects:||Arts > Graphic Arts|
Generalities > Computer Science and Informatics
|Group:||School of Design, Engineering & Computing > Psychology Research Group|
|Deposited By:||Ms MJ Bowden|
|Deposited On:||03 Jan 2008|
|Last Modified:||07 Mar 2013 14:41|
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