Title :
A new model predictive control approach to DC-DC converters based on combinatory optimization
Author :
Ahmad, Abu Zaharin ; Liu, Kang-Zhi
Author_Institution :
Dept. of Electr. & Electron. Eng., Chiba Univ., Chiba
Abstract :
DC-DC converters by nature present hybrid behavior, which is described by a set of discrete modes associated with continuous dynamics. The control objective is accomplished by switching among the discrete modes. This paper presents a new model predictive control approach to optimize the performance of DC-DC converters. The proposed control algorithm is tailored to DC-DC converters, making full use of the fact of finite number of modes to transform the performance optimization problem into a combinatory optimization task. The nice thing with this approach is that the on-line computation is very simple and effective for implementation.
Keywords :
DC-DC power convertors; circuit optimisation; predictive control; DC-DC converters; combinatory optimization; model predictive control; Application software; DC-DC power converters; Power system dynamics; Predictive control; Predictive models; Switching circuits; Switching converters; Telecommunication computing; Telecommunication switching; Voltage control;
Conference_Titel :
Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-1767-4
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2008.4757997