Title :
Linear Quadratic Regulator design for modular matrix converter using Genetic Algorithm
Author :
Yuhendri, Muldi ; Ashari, Mochammad ; Purnomo, M.H.
Author_Institution :
Dept. of Electr. Eng., Universitas Negeri Padang, Padang, Indonesia
Abstract :
This paper introduces an application of Linear Quadratic Regulator (LQR) based on Genetic Algortihm (GA) for improving the stability of modular matrik converter. GA is used for constructing the weighting matrices Q and R of LQR. To design controller, the converter is analyzed in small signal model and steady state model. Stability performances of converter are presented by the switch cell capacitor voltage and currents of converter. This method is compared with trial-error LQR for result validation. The Simulation results shows the GA presents best performance to improve the converter stability via matrices Q and R design.
Keywords :
genetic algorithms; linear quadratic control; matrix convertors; converter stability; genetic algorithm; linear quadratic regulator design; modular matrix converter; small signal model; steady state model; weighting matrix; Genetic Algorithm; Linear Quadratic Regulator; Modular matrix converter;
Conference_Titel :
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-485-5
DOI :
10.1109/ICCSN.2011.6014875
