SS2-9 Neural Network Based Reference Modification for DC-DC Converter with Model Control
◎Hironobu Taniguchi,Hidenori Maruta,Fujio Kurokawa(Nagasaki University)
This paper presents the performance characteristics of the neural network based reference modification for dc-dc converter with model control.The proposed method can improve the transient characteristics of dc-dc converter in the light load condition.
As a result,it can operate a wide load range of dc-dc converter.