Parameters identification of nonlinear rotor system based on hybrid intelligent algorithm

PDF(1092 KB)

Journal of Vibration and Shock ›› 2012, Vol. 31 ›› Issue (17) : 111-115.

论文

Parameters identification of nonlinear rotor system based on hybrid intelligent algorithm

Han Fang GUO Xing-lin GAO Hai-yang

Author information +

History +

Abstract

A hybrid intelligent algorithm based on genetic algorithm,ant colony algorithm and local neighborhood-search was presented to identify the parameters of a nonlinear rotor system. The merit of a quick and random searching in genetic algorithm was used into the proposed hybrid algorithm, and then pheromone distribution and search space were achieved. The merits of positive feedback, parallel processing and global searching in ant colony algorithm were utilized in the proposed hybrid algorithm. Finally the local neighborhood-search was used to achieve the exact solutions. The validity and effectiveness of the method that identify parameters of nonlinear rotor system are demonstrated by some numerical simulations.

Key words

parameters identification / genetic algorithm / ant colony algorithm / local neighborhood-search

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Han Fang GUO Xing-lin GAO Hai-yang. Parameters identification of nonlinear rotor system based on hybrid intelligent algorithm[J]. Journal of Vibration and Shock, 2012, 31(17): 111-115