JAVA Journal of Electrical and Electronics Engineering
Vol 11, No 2 (2013)

Design Optimal Feedback Control Using Evolutionary Particle Swarm Optimization in Multi- Machine Power System

Priyadi, Ardyono (Unknown)
Purnomo, Mauridhy Hery (Unknown)
Pujiantoro, Margo (Unknown)

Article Info

Publish Date
01 Oct 2013

Abstract

This This paper proposes an application of Evolutionary Particle Swarm Optimization (EPSO) to design weighting matrices Q and R elements in Linear Quadratic Regulator (LQR) optimization process. Solving optimal feedback control has already established by LQR method. However, there still has some problem to find the weighting matrices Q and R.These weighting matrices are the most important components in LQR optimization method. Weighting matrices are calculated using trial and error, Particle Swarm Optimazation (PSO), and EPSO techniques and simulation results are compared. Static and Dynamic loads are considered and comparison is illustrated.

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Journal Info
JAVA Journal of Electrical and Electronics Engineering
Website

Abbrev

java

Publisher

Institut Teknologi Sepuluh Nopember Surabaya

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Description

JAVA Journal of Electrical and Electronics Engineering is published by the Department of Electrical Engineering Faculty of Industrial Technology, Institut Teknologi Sepuluh Nopember (ITS), Surabaya – Indonesia. Topics include all practical aspects of theory and methods of energy and power system, ...