两种传感器的位置优化及结构多种响应重构

张笑华;任伟新;方圣恩

振动与冲击 ›› 2014, Vol. 33 ›› Issue (18) : 26-30.

PDF(1260 KB)
PDF(1260 KB)
振动与冲击 ›› 2014, Vol. 33 ›› Issue (18) : 26-30.
论文

两种传感器的位置优化及结构多种响应重构

  • 张笑华1 , 任伟新2,方圣恩1
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Location Optimization of Dual-type Sensorsfor Multi-scale Response Reconstruction

  • Zhang Xiao-hua1 Ren Wei-xin2 Fang Sheng-en1
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摘要

提出了利用卡尔曼滤波算法以重构结构响应为目标的应变传感器和位移传感器位置优化和数目确定的方法。通过从传感器位置候选群中不断删除对响应重构精度贡献最小的位置,直到最大规则化重构误差方差或者平均规则化重构误差方差等于或者大于预设的阀值,由此来确定位移和应变传感器的数目和优化的位置,并综合利用这两种响应重构关键位置的位移和应变响应。数值算例结果显示,利用优化位置的测量信息重构的响应与数值计算的响应吻合良好,并且综合利用两种信息重构得到的响应比用单种信息重构的结果精度更高。

Abstract

The fuel cell vehicle had problems in the middle and low–frequency vibration This paper will focus on the optimal design of integrated sensor systems with the aim of possible best reconstruction of structural responses using Kalman filtering algorithm, including both strain and displacement measurement sensors. The locations will be deleted from the candidates in the condition that the deletion will cause the minimal reconstruction error until either the normalized maximum or average theoretical reconstruction error achieve the predefined criterion. Then the numbers and locations of the two type sensors are determined. A two-dimensional truss structure is then presented as a numerical example to investigate the effectiveness and accuracy of the proposed approach. The results indicate that the reconstructed responses are in good agreement with the real ones and the integrated sensor system provides better reconstruction of structural response than single-type sensor system.

关键词

传感器优化布置 / 位移传感器 / 应变传感器 / 测量噪声 / 卡尔曼滤波 / 多种响应重构

Key words

sensor placement / displacement sensors / strain sensors / measurement noise / Kalman filtering / multi-scale response reconstruction

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导出引用
张笑华;任伟新;方圣恩. 两种传感器的位置优化及结构多种响应重构[J]. 振动与冲击, 2014, 33(18): 26-30
Zhang Xiao-hua Ren Wei-xin Fang Sheng-en. Location Optimization of Dual-type Sensorsfor Multi-scale Response Reconstruction[J]. Journal of Vibration and Shock, 2014, 33(18): 26-30

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