基于改进智能算法的非线性转子系统的参数辨识

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振动与冲击 ›› 2012, Vol. 31 ›› Issue (17) : 111-115.

论文

基于改进智能算法的非线性转子系统的参数辨识

韩放郭杏林高海洋

作者信息 +

Parameters identification of nonlinear rotor system based on hybrid intelligent algorithm

Han Fang GUO Xing-lin GAO Hai-yang

Author information +

文章历史 +

摘要

为了有效的识别非线性转子系统的若干参数，提出了基于遗传算法、蚁群算法和邻域搜索算法的混合方法（Ne-GAAC），该算法利用遗传算法的快速随机搜索能力的优点，形成了蚁群算法的初始信息素分布和寻优区间，同时利用了蚁群算法正反馈以及具有分布式并行全局搜索能力的优点，最终在解收敛后采用局部邻域搜索算法得到精确解，算例结果表明，该方法可以有效的识别非线性转子系统的参数。

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.

导出引用

韩放郭杏林高海洋. 基于改进智能算法的非线性转子系统的参数辨识[J]. 振动与冲击, 2012, 31(17): 111-115

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