Linear Quadratic Regulator design for modular matrix converter using Genetic Algorithm

Closed

Muldi Yuhendri, Mochammad Ashari, M.H. Purnomo

2011 2011 IEEE 3rd International Conference on Communication Software and Networks, ICCSN 2011 Conference paper Cited by 3

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. © 2011 IEEE.

Affiliations

Departement of Electrical Engineering, Universitas Negeri Padang, Padang, Indonesia; Departement of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia

View full text (DOI) →