基于遗传算法的导弹结构模态参数识别
详细信息 本馆镜像全文    |  推荐本文 | | 获取馆网全文
摘要
系统地研究了基于遗传算法的线性结构系统模态参数识别方法。遗传算法对广义动力学系统的辨识已经得到了充分研究,但在结构系统参数辨识方面的研究还不多,使用浮点数编码方案,利用频响函数数据,给出了结构系统模态参数识别步骤。由于遗传算法的全局寻优特性,该算法具有极强的抗噪声能力,即使对噪声严重污染的数据依然能够很好的辨识出待辨识的参数。通过一个两自由度的弹簧质量块系统进行了仿真分析,最后将方法用于一个实际的导弹结构的实验数据分析。
The linear structure system modal parameters identification based on genetic algorithms is studied.genetic algorithms has been well studied in generalization dynamics system identification,but less work has been done in the structural system identification.Therefore,based on floating point coding,the steps of structural model parameter indentification using the frequency response data are given.Because of the global optimization of genetic algorithms,the method has good quality of resisting noise.The result is validated by simulating of a two degreeof freedom mass-spring-system.Finally proposed method is used to identifying modal parameter of the missile structure.
引文
[1]GOLDBERG D E.System Identification Via Genetic Al-gorithm[M]Unpublished Manuscript,Univ.Mich.,Ann Arbor,MI,1981.
    [2]李岳锋.基因遗传优化算法研究及应用探索[J].振动工程学报,1994,(4):313-321.
    [3]李守巨,刘迎曦,王登刚.基于遗传算法的结构振动参数识别方法[J].中国矿业大学学报(自然科学版),2001,30(3):256-259.
    [4]李中付,华宏星,石银明,等.遗传算法在结构模态参数辨识中的应用[J].振动、测试与诊断,2001,21(4):245-248.
    [5]姜丽萍,杜修力.基于经验遗传——单纯形算法和结构模态参数识别结构物理参数的方法[J],地震工程与工程振动,2007,27(4):116-121.
    [6]ALANDER J T.Proceeding of the First Finnish Work-shop on Genetic Algorithms[M].Prentice-Hall,Engle-wood,Cliffs,NJ,1989.
    [7]GOLDBERG D E.Real-Coded Genetic Algorithms,Virtual Alphabets,and Blocking[D].University of Il-lionis at Urbana-Champaign,Technical Report No.90001,September 1990.
    [8]MICHALEWICZ Z.Genetic Algorithms+Data Struc-ture=Evolutionary Programs[M].Springer-Verlag,Berlin,Heidelberg,2nd Edition,1994.
    [9]王正志,薄涛.进化计算[M].北京:国防科技大学出版社,2000.
    [10]邹经湘.结构动力学[M].哈尔滨:哈尔滨工业大学出版社,1999.

版权所有:© 2023 中国地质图书馆 中国地质调查局地学文献中心