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A NEURAL CONTROLLER FOR QUASl-RESONANT CONVERTERS
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| Author(s) |
J. M. Quero; J. M. Carrasco; L. G. Franquelo |
| Abstract |
A neural controller implementing an energy feedback control law is proposed to improve the stability and dynamic characteristics of the series resonant converter (SRC). The energy feedback control is introduced and analysed in discrete time domain. A novel formulation of the control law is suggested. The adaptive control law is learnt by an analog neural network (ANN). An easy implementation of this controller is proposed and applied to a SRC circuit. Simulation results show a good improvement in the SRC response and confirm the validity of the controller. |
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| Filename: | Unnamed file |
| Filesize: | 1.817 MB |
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| Type |
Members Only |
| Date |
Last modified 2019-08-01 by System |
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