Title :
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
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;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location :
Xian
Print_ISBN :
978-1-4673-1484-8
DOI :
10.1109/ICMLC.2012.6359551
