基于遗传算法的直升机旋翼液弹阻尼器模型参数识别

武 珅1,2,杨卫东2,李锐锐2

振动与冲击 ›› 2015, Vol. 34 ›› Issue (10) : 213-218.

PDF(2021 KB)
PDF(2021 KB)
振动与冲击 ›› 2015, Vol. 34 ›› Issue (10) : 213-218.
论文

基于遗传算法的直升机旋翼液弹阻尼器模型参数识别

  • 武  珅1,2,杨卫东2,李锐锐2
作者信息 +

Parameter identification for a fluid-elastomeric damper model of helicopter rotor based on genetic algorithm

  • WU Shen1,2,YANG Wei-dong2,LI Rui-rui2
Author information +
文章历史 +

摘要

建立直升机旋翼液弹阻尼器非线性动力学参数模型,引入具有全局搜索能力的遗传算法进行模型参数识别,解决因模型复杂造成的传统参数识别效率及精度较低问题。据识别所得参数模型重构力—位移迟滞回线并与液弹阻尼器动力学试验数据对比结果显示,参数模型重构曲线与试验曲线吻合良好,验证参数模型描述液弹阻尼器非线性动力学特性的准确性及采用遗传算法识别模型参数的有效性。对不同位移幅值与不同频率下液弹阻尼器动力学特性模拟计算均获得与试验一致结果,表明非线性参数模型及参数识别方法鲁棒良好性、精较高度。

Abstract

A nonlinear dynamic model with parameters for fluid-elastomeric damper of helicopter rotor is established.  Genetic algorithm that possesses global search capability is introduced to identify the model parameters. It improves the efficiency and precision of conventional methods in parameter identification for complex models. The force-displacement curves calculated by parameter model are compared with those derived from experimental data. The consistent results suggest that the nonlinear model with parameters can validly describe the dynamic properties of fluid-elastomeric damper and genetic algorithm can effectively identify parameters of nonlinear fluid-elastomeric damper model. Under different displacement amplitude and frequency, the results from dynamic characteristic calculation of fluid-elastomeric damper are always accordant with experimental data, indicating that the proposal nonlinear model and parameter identification method both possess great robustness and high precision.

关键词

直升机 / 旋翼 / 液弹阻尼器 / 遗传算法 / 参数识别

Key words

helicopter / rotor / fluid-elastomeric damper / genetic algorithm / parameter identification

引用本文

导出引用
武 珅1,2,杨卫东2,李锐锐2. 基于遗传算法的直升机旋翼液弹阻尼器模型参数识别[J]. 振动与冲击, 2015, 34(10): 213-218
WU Shen1,2,YANG Wei-dong2,LI Rui-rui2. Parameter identification for a fluid-elastomeric damper model of helicopter rotor based on genetic algorithm[J]. Journal of Vibration and Shock, 2015, 34(10): 213-218

参考文献

[1] Panda B, Mychalowycz E, Tarzanin F J.Application of passive dampers to modern helicopters [J]. Smart Mater. and Struct., 1996, 5(5): 509-516.
[2] Hu W, Werel N, Chemouni L. Semi-active linear stoke magnetorheological fluid-elastic damper for helicopter main rotor blades [J]. Journal of Guidance, Control and Dynamics, 2007, 30(2): 565-575.
[3] Ngatu G, Hu W, Werely N M. Adaptive snubber-type magnetorheological fluid-elastomeric helicopter lag damper [J]. AIAA Journal, 2010, 48(3): 598-610.
[4] 武珅,杨卫东. 旋翼液弹阻尼器模型试验与非线性动力学特性分析[J]. 南京航空航天大学学报,2011,43(3): 318-323.
 WU Shen, YANG Wei-dong. Model experiment on nonlinear dynamics characteristics of rotor fluidlastic damper[J]. Journal of Nanjing University of Aeronautics & Astronautics, 2011, 43(3): 318-323.
[5] Yun H B, Tasbighoo F, Masri S F,et al. Comparison of modeling approaches for full-scale nonlinear viscous dampers [J]. Journal of Vibration and Control, 2008, 14(1/2): 51-76.
[6] Lewandowski R, Chorazyczewski B. Identification of the parameters of the kelvin-voigt and the maxwell fractional models, used to modeling of viscoelastic dampers[J]. Computers and Structures, 2010, 88: 1-17.
[7] Mohebbi M, Joghataie A. Design optimal tuned mass dampers for nonlinear frames by distributed genetic algorithm[J]. The Structural Design of Tall and Special Buildings, 2011, 21(2): 77-95.
[8] 高军,黄再兴. PBX炸药粘弹性损伤本构模型的参数识别[J]. 工程力学,2013,30(7):299-304.
 GAO Jun, HUANG Zai-xing. Parameter identification for viscoelastic damage constitutive model of PBX[J]. Engineering Mechanics, 2013, 30(7): 299-304.
[9] 周明,孙树栋. 遗传算法原理及应用[M]. 北京: 国防工业出版社, 1999: 18-32.
[10] 李守巨,刘迎曦. 改进遗传算法在非线性热传导参数识别中的应用[J]. 工程力学,2005, 22(3):72-75.
 LI Shou-ju, LIU Ying-xi. Application of improved genetic algorithm to solving inverse heat conduction problems [J]. Engineering Mechanics, 2005, 22(3): 72-75.
[11] 李守巨,刘迎曦,冯颖. 基于混合遗传算法的动力系统阻尼参数识别方法[J]. 计算力学学报,2004, 21(5):551-556.
 LI Shou-ju, LIU Ying-xi, FENG Ying. Identification of the damping coefficients in dynamic system using hybrid genetic algorithm [J]. Chinese Journal of Computational Mechanics, 2004, 21(5):551-556.
[12] Sireteanu T, Giucla M, Mitu A M. Identification of an extended bouc-wen model with application to seismic protection through hysteretic devices[J]. Comput Mech, 2010, 45: 431-441.
[13] 关新春,郭鹏飞,欧进萍. 磁流阻尼器的多目标优化设计与分析[J]. 工程力学,2009,26(9):30-35.
 GUAN Xin-chun, GUO Peng-fei, OU Jin-ping. Multi- objective optimization of magnetorheological fluid dampers [J]. Engineering Mechanics, 2009, 26(9): 30-35.
[14] 刘永强,杨绍普,廖英英,等. 基于遗传算法的磁流变阻尼器Bouc-Wen模型参数辨识[J]. 振动与冲击,2011,30(7):261- 265.
 LIU Yong-qiang, YANG Shao-pu, LIAO Ying-ying et al. Parameter identification of bouc-wen model for MR damper based on genetic algorithm[J]. Journal of Vibration and Shock, 2011, 30(7): 261-265.
[15] 吴晓莉. 粘弹减摆器参数影响分析与试验研究[D]. 南京:南京航空航天大学,2009.

PDF(2021 KB)

Accesses

Citation

Detail

段落导航
相关文章

/