噪声与振动控制2017，Vol.37Issue(2)：152-157,6.DOI:10.3969/j.issn.1006-1355.2017.02.031
运用改进帝国竞争算法识别结构模态参数
Structural Modal Parameter Identification Based on Improved Imperialist Competitive Algorithm
摘要
Abstract
In recent years, the intelligent optimization algorithm has been widely used in structural parameter identifications due to the advantage that it can be applied under the conditions of limited measurement data, noise polluted signal, and shortage of prior knowledge of mass, damping, or stiffness. However, intelligent algorithm is prone to premature convergence and falling into the local optimum during identifying structural parameters, which leads to inaccurate identification results. Imperialist competitive algorithm (ICA), as a new intelligent optimization algorithm, also has such defects in structural parameter identification. Thus, an improved imperialist competitive algorithm based on the global optimum idea of particle swarm optimization (PSO) is proposed in this paper. This algorithm is used to identify the structural modal parameters. The test results of five typical test functions show that the performance of the improved imperialist competitive algorithm is better than that of the traditional imperialist competitive algorithm. Finally, the numerical example of a simply supported beam structure under ambient excitation with different noises verifies that the improved algorithm can effectively overcome the premature convergence and identification error, and has a good noise-immunity performance.关键词
振动与波/帝国竞争算法/结构模态参数识别/环境激励/脉冲响应信号/粒子群算法Key words
vibration and wave/imperialist competitive algorithm/structural modal parameters identification/ambient excitation/impulse response signal/particle swarm optimization分类
信息技术与安全科学引用本文复制引用
邵永亮,常军..运用改进帝国竞争算法识别结构模态参数[J].噪声与振动控制,2017,37(2):152-157,6.基金项目
江苏省自然科学基金资助项目(BK20141180) （BK20141180）
江苏省结构工程重点实验室开放课题(DZ1405) （DZ1405）
江苏省建设系统科技项目(2015ZD77) （2015ZD77）
