Title :
Optimizing the Classic Controllers to Improve the Cûk Converter Performance Based on Genetic Algorithm
Author :
Poudeh, Mohammad Bayati ; Eshtehardiha, Saeid ; Ershadi, Mohammad Hosein
Author_Institution :
Electr. Eng. Dept., Islamic Azad Univ., Isfahan
Abstract :
The Cuk converter can be employed for the control of dc voltage of a battery or it can be a component of a complex converter to control the intermediate or output voltages. Due to the 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 a linear system and then linear control methods can be used. Dynamic performance of Cuk converters output voltage can be controlled by classic controllers, Linear Quadratic Regulator (LQR), pole placement and PID. In this article, matrixes coefficients and dominant poles of closed loop transfer function are selected based on genetic algorithm method. The results show an improvement in voltage control response in a short response time.
Keywords :
DC-DC power convertors; closed loop systems; control system synthesis; genetic algorithms; linear quadratic control; linear systems; three-term control; transfer functions; voltage control; Cuk converter; PID; classic controllers; closed loop transfer function; controlling design; dc voltage control; dc-dc converters; genetic algorithm; linear quadratic regulator; linear system; matrixes coefficients; pole placement; Batteries; Control systems; DC-DC power converters; Genetic algorithms; Linear systems; Nonlinear dynamical systems; Regulators; State feedback; Switching converters; Voltage control; Classic controllers; Cûk converter; Genetic algorithm;
Conference_Titel :
Smart Manufacturing Application, 2008. ICSMA 2008. International Conference on
Conference_Location :
Gyeonggi-do
Print_ISBN :
978-89-950038-8-6
Electronic_ISBN :
978-89-962150-0-4
DOI :
10.1109/ICSMA.2008.4505668
