Title :
Optimized state controller on DC-DC converter
Author :
Poodeh, M. Bayati ; Eshtehardiha, S. ; Namnabat, M.
Author_Institution :
Dept. of Electr. Eng., Islamic Azad Univ., Najafabad
Abstract :
Due to their switching property included in their structure, DC-DC converters have a non-linear behavior and their controlling design is accompanied with complexities. But by employing the average method it is possible to approximate the system by linear system and exploiting linear control methods. In this paper the central method of linear quadratic regulator (LQR) is employed for controlling buck converter and improving its dynamic functioning, but determining the LQR controlling matrices is very difficult. So, genetic algorithm is employed to eliminate this obstacle. The simulation of DC-DC converter with LQR based on genetic algorithm is shown the improvement in voltage control response and the converter output current.
Keywords :
DC-DC power convertors; genetic algorithms; linear quadratic control; voltage control; DC-DC converter; LQR controlling matrices; buck converter; dynamic functioning; genetic algorithm; linear control methods; linear quadratic regulator; linear system; optimized state controller; switching property; voltage control response; Buck converters; Centralized control; Control systems; DC-DC power converters; Genetic algorithms; Linear systems; Matrix converters; Regulators; Switching converters; Voltage control; DC-DC converter; Genetic algorithm; LQR optimum controller; State controller;
Conference_Titel :
Power Electronics, 2007. ICPE '07. 7th Internatonal Conference on
Conference_Location :
Daegu
Print_ISBN :
978-1-4244-1871-8
Electronic_ISBN :
978-1-4244-1872-5
DOI :
10.1109/ICPE.2007.4692367
