Title :
Improvement performance of step-down converter through intelligent controllers
Author :
Yousefi, M.R. ; Poudeh, M. Bayati ; Eshtehardiha, S.
Author_Institution :
Fac. of Electr. Eng. Dept., Islamic Azad Univ., Najafabad
Abstract :
In this paper, several different control methods based on intelligent system on DC-DC converter are compared with together. These DC-DC converters are used for the stabilization or the control of DC voltage of a battery. Lately, improvement the performance of the step-down converter is one of the goals of the engineers in the industries. In this paper controlled step-down converter using new several fuzzy logic controls law algorithms and PID controllers based on genetic algorithm (GA) and particle swarm optimization (PSO) are studied. These controllers are designed to eliminate the overshoot and reduce the settling time response. All the analysis and simulations to duplicate on the above converter by MATLAB software were performed and confirm the capability of the control methods in the improvement of the above-mentioned converter functioning.
Keywords :
DC-DC power convertors; fuzzy control; genetic algorithms; intelligent control; machine control; particle swarm optimisation; three-term control; DC voltage; DC-DC converter; MATLAB software; PID control; battery; fuzzy logic control; genetic algorithm; intelligent control; intelligent system; particle swarm optimization; step-down converter; Batteries; Control systems; DC-DC power converters; Electrical equipment industry; Fuzzy logic; Genetic algorithms; Intelligent systems; Particle swarm optimization; Three-term control; Voltage control; Fuzzy Logic Control; Genetic Algorithm; PID Control; Particle Swarm Optimization; Step-Down Converter;
Conference_Titel :
Intelligent Systems, 2008. IS '08. 4th International IEEE Conference
Conference_Location :
Varna
Print_ISBN :
978-1-4244-1739-1
Electronic_ISBN :
978-1-4244-1740-7
DOI :
10.1109/IS.2008.4670420
