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一种新的时域动态载荷识别方法

朱涛 肖守讷 阳光武

朱涛, 肖守讷, 阳光武. 一种新的时域动态载荷识别方法[J]. 西南交通大学学报, 2012, 25(6): 968-973. doi: 10.3969/j.issn.0258-2724.2012.06.010
引用本文: 朱涛, 肖守讷, 阳光武. 一种新的时域动态载荷识别方法[J]. 西南交通大学学报, 2012, 25(6): 968-973. doi: 10.3969/j.issn.0258-2724.2012.06.010
ZHU Tao, XIAO Shoune, YANG Guangwu. A New Time-Domain Method for Force Identification[J]. Journal of Southwest Jiaotong University, 2012, 25(6): 968-973. doi: 10.3969/j.issn.0258-2724.2012.06.010
Citation: ZHU Tao, XIAO Shoune, YANG Guangwu. A New Time-Domain Method for Force Identification[J]. Journal of Southwest Jiaotong University, 2012, 25(6): 968-973. doi: 10.3969/j.issn.0258-2724.2012.06.010

一种新的时域动态载荷识别方法

doi: 10.3969/j.issn.0258-2724.2012.06.010
基金项目: 

"十一五"国家科技支撑计划资助项目(Z2009BAG12A04-A11)

四川省科技计划资助项目(2011JY0029)

中央高校基本科研业务费专项基金资助项目(SWJTU09ZT23)

国家自然科学基金资助项目 (51005190

51275432)

A New Time-Domain Method for Force Identification

  • 摘要: 为了准确地识别未知载荷和降低测量噪声对识别结果的影响,基于动态规划方法和Bellman最优化原理,提出了新的时域动态载荷识别方法.从系统的状态空间方程出发,利用最小二乘法建立了系统响应的实际测量值与识别值之间的目标函数,同时引入Newmark积分,得到了基于系统位移、速度和加速度响应的系统离散运动方程;将动态规划方法和Bellman最优化原理应用于目标函数的最小化,推导了动态优化载荷识别公式.通过数值算例对文中方法进行了验证,结果表明:该方法对动态载荷识别适应性强,在测量响应含有10%噪声干扰下,误差均低于25%.

     

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出版历程
  • 收稿日期:  2011-09-12
  • 刊出日期:  2012-12-25

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