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http://dx.doi.org/10.5370/JEET.2016.11.6.1684

Control Strategy for Buck DC/DC Converter Based on Two-dimensional Hybrid Cloud Model  

Wang, Qing-Yu (School of Electrical Engineering, Guangxi University)
Gong, Ren-Xi (School of Electrical Engineering, Guangxi University)
Qin, Li-Wen (School of Electrical Engineering, Guangxi University)
Feng, Zhao-He (School of Electrical Engineering, Guangxi University)
Publication Information
Journal of Electrical Engineering and Technology / v.11, no.6, 2016 , pp. 1684-1692 More about this Journal
Abstract
In order to adapt the fast dynamic performances of Buck DC/DC converter, and reduce the influence on converter performance owing to uncertain factors such as the disturbances of parameters and load, a control strategy based on two-dimensional hybrid cloud model is proposed. Firstly, two cloud models corresponding to the specific control inputs are determined by maximum determination approach, respectively, and then a control rule decided by the two cloud models is selected by a rule selector, finally, according to the reasoning structure of the rule, the control increment is calculated out by a two-dimensional hybrid cloud decision module. Both the simulation and experiment results show that the strategy can dramatically improve the dynamic performances of the converter, and enhance the adaptive ability to resist the random disturbances, and its control effect is superior to that of the current-mode control.
Keywords
Buck DC/DC converter; Uncertainty; Two-dimensional hybrid cloud model;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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