Title :
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
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;
Conference_Titel :
Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on
Conference_Location :
Ramanathapuram
Print_ISBN :
978-1-4799-3913-8
DOI :
10.1109/ICACCCT.2014.7019267