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

fYear

2007

fDate

25-28 Nov. 2007

Firstpage

917

Lastpage

922

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICIAS.2007.4658520

Filename

4658520