Title :
A New Prediction Based Digital Control DC-DC Converter
Author :
Kurokawa, Fujio ; Maruta, Hidenori ; Sakemi, Junya ; Nakamura, Akihiro ; Osuga, Hiroyuki
Author_Institution :
Nagasaki Univ., Nagasaki, Japan
Abstract :
This paper presents a novel prediction based digital control dc-dc converter. In this method, addition to the P-I-D control as the feedback control, the prediction based control is used as the feedfoward control. In the feedfoward control, the neural network based method is adopted. This works to improve the transient response very effectively when the load is changed quickly. As a result, the undershoot of the output voltage and the overshoot of the reactor current are suppressed effectively as compared with the conventional one in the step change of load resistance. It is confirmed that the prediction based control technique is useful to realize the high performance digital control method for the dc-dc converter.
Keywords :
DC-DC power convertors; digital control; feedback; feedforward; neurocontrollers; three-term control; PID control; feedback control; feedfoward control; neural network based method; output voltage; prediction based digital control DC-DC converter; reactor current; Artificial neural networks; Converters; Digital control; Inductors; Integrated circuit modeling; Load modeling; Voltage control; dc-dc converter; digital control; neural network;
Conference_Titel :
Machine Learning and Applications (ICMLA), 2010 Ninth International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-9211-4
DOI :
10.1109/ICMLA.2010.110
