基于粒子群算法的直升机扭振系统传递函数辨识  

Identification of Transfer Function of Helicopter Torsional Vibration System Based on Particle Swarm Optimization Algorithm

作　　者：刘立坤 霍幸莉[1] 王东森[1] 周友明[1] 

机构地区：[1]中国飞行试验研究院,陕西西安710089

出　　处：《航空科学技术》2017年第11期22-26,共5页Aeronautical Science & Technology

摘　　要：为识别扭振系统传递函数,完成结构动力学建模,以某型直升机为例,利用试验扫频数据将扭振系统激励响应数据计算所得的频响函数与理论模型频响函数的差值作为粒子群算法优化目标,通过拟合扭振系统的伯德图(Bode Diagram)完成系统参数辨识。结果表明,粒子群算法能够有效辨识扭振系统传递函数,为结构动力学建模提供依据。In order to identify the transfer function of the torsional vibration system and establish structural dynamics model, the paper took a helicopter as an example. Accomplished the system parameters identification by fitting the bode diagram with the test sweep frequency data. In the process of the identification, the Particle Swarm Optimization Algorithm was used. The difference between theoretical and test results of frequency response function was taken as the optimization objective. The calculation results show that the method can effectively identify the transfer function parameters.

关 键 词：扭振系统 参数辨识 粒子群算法 伯德图拟合 传递函数 

分 类 号：V217[航空宇航科学与技术—航空宇航推进理论与工程]