Title :
Improvement of Cûk converter performance with optimum LQR controller based on genetic algorithm
Author :
Zaeri, A.H. ; Poodeh, M. Bayati ; Eshtehardiha, S.
Author_Institution :
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 controller design is complexity. However by employing the average method it is possible to approximate the system by using a linear model and linear control method can be used. Dynamic performance of Cuk converters output voltage can be controlled by the method of Linear Quadratic Regulator (LQR). In this article, matrices coefficients are selected based on genetic algorithms. The results showed an improvement in voltage control response in a short response time.
Keywords :
DC-DC power convertors; control system synthesis; genetic algorithms; large-scale systems; linear quadratic control; matrix algebra; nonlinear control systems; switching convertors; Cuk converter performance; DC-DC converter; battery DC voltage control; complex converter control; genetic algorithm; linear model; linear quadratic regulator; matrix coefficient; nonlinear controller design; optimum LQR controller; switching property; Control systems; DC-DC power converters; Genetic algorithms; Intelligent systems; Mathematical model; Regulators; Sliding mode control; Switches; Switching converters; Voltage control;
Conference_Titel :
Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-1355-3
Electronic_ISBN :
978-1-4244-1356-0
DOI :
10.1109/ICIAS.2007.4658520
