| 引用本文: | 董康立,殷红,彭珍瑞.面向多类型传感器优化布置的结构响应重构[J].控制理论与应用,2018,35(9):1339~1346.[点击复制] |
| DONG Kang-li,YIN Hong,PENG Zhen-rui.Structural response reconstruction oriented to optimal multi-type sensor placement[J].Control Theory and Technology,2018,35(9):1339~1346.[点击复制] |
|
| 面向多类型传感器优化布置的结构响应重构 |
| Structural response reconstruction oriented to optimal multi-type sensor placement |
| 摘要点击 2676 全文点击 1024 投稿时间：2018-01-28 修订日期：2018-06-29 |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| DOI编号 10.7641/CTA.2018.80084 |
| 2018,35(9):1339-1346 |
| 中文关键词 萤火虫算法 二进制编码 类卡尔曼滤波 传感器优化布置 响应重构 |
| 英文关键词 firefly algorithm binary coding excitation identification Kalman filter optimal sensor placement response reconstruction |
| 基金项目 国家自然科学基金项目(61463028, 51768035)资助. |
|
| 中文摘要 |
| 提出了利用逐步消去法(Backward sequential algorithm, BSA), 萤火虫算法(Firefly algorithm, FA) 分别和类
卡尔曼滤波算法(Excitation identification Kalman filter, EIKF) 结合, 以结构响应重构为目标, 对不同类型传感器同时
进行位置优化的方法. 通过对萤火虫算法进行二进制编码, 使其能够解决传感器优化布置问题; 以结构响应重构误
差方差平均值为目标, 以离散萤火虫算法和逐步消去法为求解方法实现传感器位置的优化; 利用预测的状态向量
值对激励和感兴趣位置处的结构响应进行重构. 用一个二维桁架模型来验证所提出方法的实用性和有效性. 数值
算例结果表明, 利用两种方法得到的优化位置处的测量信息求得的重构激励和响应与理论值能够很好地吻合, 对比
验证了两种方法的有效性. |
| 英文摘要 |
| Optimal multi-type sensor placement for structure response reconstruction by using excitation identification
Kalman filter (EIKF) is proposed, which is combined with the backward sequential algorithm (BSA) and the firefly
algorithm (FA), respectively. A binary-coded firefly algorithm is proposed for optimal sensor placement; taking average
theoretical reconstruction error variance as objective, the sensor location is optimized by using the backward sequential
method and the binary firefly algorithm; the excitation and responses are reconstructed by using the predicted state vector
values. Numerical example of a two-dimensional truss structure validates the feasibility and effectiveness of the proposed
method. The result indicates that the reconstructed excitation and responses are in good agreement with the real ones, and
the effectiveness of the methods is proved. |
|
|
|
|
|