Title :
A New Digital Control DC-DC Converter with Multi-layer Neural Network Predictor
Author :
Kurokawa, Fujio ; Maruta, Hidenori ; Mizoguchi, Tomoyuki ; Nakamura, Akihiro ; Osug, Hiroyuki
Author_Institution :
Nagasaki Univ., Nagasaki, Japan
Abstract :
The purpose of this paper is to present a new digital control method of the forward type multiple-output DC DC converter with both a PID feedback and a new feed forward control. In this converter, two novel control methods are proposed. The first new control method is a model method and the second new method is a neural network predictor. 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 method of the neural network can be realized excellent dynamic characteristics. As a result, the undershoot of the output voltage and the overshoot of reactor current are improved to 45% and 26%, respectively.
Keywords :
DC-DC power convertors; digital control; multilayer perceptrons; neurocontrollers; three-term control; PID feedback; digital control DC-DC converter; dynamic characteristics; feed forward control; forward type multiple-output DC-DC converter; multilayer neural network predictor; DC-DC power converters; Digital control; Feeds; Inductors; Multi-layer neural network; Neural networks; Neurofeedback; Predictive models; Three-term control; Voltage; dc-dc converter; digital control; feedforward control; machine learning; neural network;
Conference_Titel :
Machine Learning and Applications, 2009. ICMLA '09. International Conference on
Conference_Location :
Miami Beach, FL
Print_ISBN :
978-0-7695-3926-3
DOI :
10.1109/ICMLA.2009.106
