Modal parameters identification with Particle Swarm Optimization

Marek Galewski

Modal parameters identification with Particle Swarm Optimization

Abstract

The paper presents method of the modal parameters identification based on the Particle Swarm Optimization (PSO) algorithm [1]. The basic PSO algorithm is modified in order to achieve fast convergence and low estimation error of identified parameters values. The procedure of identification as well as algorithm modifications are presented and some simple examples for the SISO systems are provided. Results are compared with the results obtained for Least Square Complex Exponential (LSCE) method

Author (1)

Marek Galewski dr hab. inż.

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Category:: Articles
Type:: artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
Published in:: Key Engineering Materials no. 597, pages 119 - 124,
ISSN: 1662-9795
Language:: English
Publication year:: 2014
Bibliographic description:: Galewski M.: Modal parameters identification with Particle Swarm Optimization// Key Engineering Materials. -Vol. 597., (2014), s.119-124
Verified by:: Gdańsk University of Technology