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This paper proposes a current balance control in parallel operation using neural network control in addition to the conventional digital soft-start control for dc-dc converters. The neural network predictor is used in the average current balance control to improve the voltage drop when the current balance operation starts. In the proposed method, the neural network is trained to predict the output...
In this paper, a novel digital soft-start control method which employs a reference modification with a neural network predictor is presented to improve the transient characteristics in parallel operated dc-dc converters. To reduce the power consumption in parallel operated dc-dc converters, the mode of them is changed frequently from stand-by mode to operating mode, or vice versa. In the transient...
This paper presents a new digital load-dependent soft-start method of dc-dc converter for energy management system. The soft-start operation is used to prevent negative effects for a power supply. In the conventional soft-start operation, the dc-dc converter must start up very slowly to deal with the worst load condition. It takes long time to start up a power supply. The proposed digital control...
This paper presents a new soft-start method for the current mode digital control dc-dc converter. For the soft-start operation, it is important to detect the load current. In the analog control method, the fixed parameter of the soft-start circuit must be set. In the proposed digital control in the current mode control, the load resistor can be calculated with the output voltage and output current...
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