A New Prediction Based Digital Control for DC-DC Converter

Year 2011, Volume: 1 Issue: 2, 76 - 85, 01.06.2011

Hidenori Maruta Junya Sakemi Akihiro Nakamura Fujio Kurokawa Hiroyuki Osuga

Abstract

As energy saving becomes important for sustainable society, one of the important social problemsis to decrease the power consumption of the power converters such as those in renewable energysystems and information systems. In these application fields, the superior digital control method of powerconverter is needed. This paper presents a novel prediction based digitally controlled dc-dc converter. Inthe presented method, the prediction based control is adopted as the feedforward control added to theconventional P-I-D control as the feedback control. This prediction based control performs to controldynamical properties of the system and it is realized by a neural network approach. This neural networkbased control improves the transient response very effectively when the load is changed quickly. As aresult, the undershoot of output voltage and the overshoot of reactor current are suppressed effectivelyas compared with the conventional one in the step change of load resistance. Both in simulations andexperiments, it is confirmed that the presented prediction based control technique is useful to realizethe superior digitally controlled method for the dc-dc converter.

Keywords

dc-dc converter, digital control, neural network, feedforward control

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