Title :
Optimal sliding mode controller for asymmetrical DC-DC series resonant converter using genetic algorithm
Author :
Foghani, A. ; Barakati, S.M. ; Moosapour, S.H.
Author_Institution :
Dept. of Electr. & Comput., Univ. of Sistan & Baluchestan, Zahedan, Iran
Abstract :
Resonant dc-dc converters have been applied to many industrial applications. In order to dc-dc converter operates in fixed frequency and the zero-voltage-switching (ZVS) condition per different loads, using robust control theory has been reported. In this paper, an optimal sliding mode controller for dc-dc series resonant converter is proposed to control the output voltage of converter in presence load varying. Modeling of converter contains three stages: state-space model, transformed model, and averaged model. This model is suitable for designing the sliding-mode controller. To optimize the controller genetic algorithm is employed. Simulation results are shown in order to validate the proposed optimal sliding mode controller.
Keywords :
DC-DC power convertors; control system synthesis; genetic algorithms; load regulation; optimal control; resonant power convertors; variable structure systems; zero voltage switching; ZVS condition; asymmetrical DC-DC series resonant converter; averaged model; converter output voltage; fixed frequency condition; genetic algorithm; industrial applications; optimal sliding mode controller design; robust control theory; state-space model; transformed model; zero voltage switching condition; Frequency control; Frequency conversion; Load modeling; Resonant frequency; Switches; Voltage control; ZVS; avarage model; resonant dc-dc converter; slidingn mode controller;
Conference_Titel :
Control, Instrumentation, and Automation (ICCIA), 2013 3rd International Conference on
Conference_Location :
Tehran
DOI :
10.1109/ICCIAutom.2013.6912846
