Identification of fractional order system using Particle Swarm Optimization

Author

Li Meng ; Dong-Feng Wang ; Pu Han

Author_Institution

Hebei Eng. Res. Center of Simulation & Optimized Control for Power Generation, North China Electr. Power Univ., Baoding, China

Volume

4

fYear

2012

fDate

15-17 July 2012

Firstpage

1290

Lastpage

1295

Abstract

This paper presents the identification of fractional order system in frequency domain by using Particle Swarm Optimization (PSO) algorithm. PSO is extended to estimate the fractional derivative order. Meanwhile, recursive least squares algorithm is associated to calculate the denominator and numerator coefficients of transfer function. Simulation examples with noise-free and noisy data are given to verify the effectiveness of the method proposed in this paper.

Keywords

frequency-domain analysis; identification; least squares approximations; particle swarm optimisation; transfer functions; denominator coefficient; fractional derivative order estimation; fractional order system identification; frequency domain; numerator coefficient; particle swarm optimization algorithm; recursive least squares algorithm; transfer function; Abstracts; Heating; Noise measurement; Optimization; Particle swarm optimization; Fractional order system; Frequency domain identification; Particle swarm optimization; Recursive least squares algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2012 International Conference on

Conference_Location

Xian

ISSN

2160-133X

Print_ISBN

978-1-4673-1484-8

Type

conf

DOI

10.1109/ICMLC.2012.6359551

Filename

6359551