A new digital control DC-DC converter with neural network predictor

The purpose of this paper is to present a new digital control method of a forward type multiple-output dc-dc converter with both a P-I-D feedback and a new feed forward control. In this converter, a new method with a neural network predictor is presented. The dynamic characteristics of digital control dc-dc converter are improved as compared with the conventional one. Especially, the digital control dc-dc converter with the neural network predictor can realize excellent dynamic characteristics. As a result, the undershoot voltage, the overshoot voltage and the convergence time of the output voltage are improved to 43%, 65% and 63% respectively.

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