DocumentCode :
630336
Title :
PSO-based LQR controller for multi modular converters
Author :
Rakhshani, Elyas ; Cantarellas, Antoni M. ; Remon, Daniel ; Luna, Alvaro ; Rodriguez, Paul
Author_Institution :
Abengoa Res., Seville, Spain
fYear :
2013
fDate :
3-6 June 2013
Firstpage :
1023
Lastpage :
1027
Abstract :
In this paper a new application of PSO technique for optimizing the controller parameters of multi modular converters is presented. PSO based LQR controller is designed for averaged model of modular converter and to obtain better control parameters though the minimizing a quadratic-performance index. In this method in order to have more accuracy and better design for controller parameters, PSO algorithm is added to find the gain matrix of the controller. Simulation results show that with using this method better dynamic responses are accessible.
Keywords :
control system synthesis; linear quadratic control; matrix algebra; particle swarm optimisation; performance index; power convertors; PSO-based LQR controller; controller parameters design; dynamic responses; gain matrix; multimodular converters; particle swarm optimization; quadratic-performance index; Indexes; Pulse width modulation; LQR controller; Multi modular converter; Particle swarm optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ECCE Asia Downunder (ECCE Asia), 2013 IEEE
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-0483-9
Type :
conf
DOI :
10.1109/ECCE-Asia.2013.6579233
Filename :
6579233
Link To Document :
بازگشت