Genetic Algorithm based PI controller for Negative Output Elementary LUO converter

Author

Achiammal, B. ; Kayalvizhi, R.

Author_Institution

Dept. of Electron. & Instrum. Eng., Annamalai Univ., Chidambaram, India

fYear

2014

fDate

8-10 May 2014

Firstpage

1099

Lastpage

1103

Abstract

The Negative Output Elementary Luo converter is a newly developed DC-DC converter. Due to the time-varying and switching nature of the above converter, its dynamic behavior becomes highly non-linear. Conventional controllers are incapable of providing good dynamic performance for such a converter and hence optimized techniques have been developed to tune the PI parameters. In this work, Genetic (GA) Algorithm is developed for PI optimization. Simulation results show that the performances of GA-PI controller are better than those obtained by the classical ZN-PI controller.

Keywords

DC-DC power convertors; PI control; genetic algorithms; power system control; time-varying systems; DC-DC converter; GA-PI controller; PI optimization; PI parameters; ZN-PI controller; dynamic behavior; genetic algorithm based PI controller; negative output elementary LUO converter; optimized techniques; switching nature; time-varying nature; Capacitors; Frequency conversion; Genetic algorithms; Inductors; MOSFET; Switches; Time-frequency analysis; DC-DC converter; Genetic Algorithm; Negative Output Elementary Luo converter; PID controller;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on

Conference_Location

Ramanathapuram

Print_ISBN

978-1-4799-3913-8

Type

conf

DOI

10.1109/ICACCCT.2014.7019267

Filename

7019267