基于整数编码遗传算法的传感器优化配置研究

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振动与冲击 ›› 2011, Vol. 30 ›› Issue (2) : 252-257.

论文

基于整数编码遗传算法的传感器优化配置研究

覃柏英1;　林贤坤2;　张令弥2;　郭勤涛3

作者信息 +

Research on Optimal Sensor Placement Based on Integer-coded Genetic Algorithm

Qin Boyin1; Lin Xiankun2; Zhang Lingmi2; Guo Qintao3

Author information +

文章历史 +

摘要

动态测试中，为了将传感器配置在合理的自由度上，以便充分反映结构的动力特性，需对传感器进行优化配置。本文分别以模态置信度矩阵、Fisher信息阵和它们的组合为优化准则，采用整数编码遗传算法，探讨了单目标和多目标优化的传感器优化配置问题。通过与现有的模态动能法、有效独立法及基于QR分解的逐步累积法进行比较，传感器优化配置的结果表明整数编码遗传算法优于上述三种现有方法。

Abstract

In order to dispose sensors to reasonable freedom degrees, and reflect adequately the dynamic characteristics of tested structure, the sensor placements of dynamic testing must be optimized. In this paper, taking MAC matrix, Fisher information matrix, and their combinations as optimization criteria respectively, the integer‐coded genetic algorithm was applied to single-objective or multi-objective optimal sensor placement problem. compared with three existing optimal sensor placement method, which are modal kinetic energy, effective independence, and cumulative method based on QR decomposition, their results of the optimal sensor placements indicated that the integer‐coded genetic algorithm is better than three existing method.

导出引用

覃柏英;林贤坤;张令弥;郭勤涛 . 基于整数编码遗传算法的传感器优化配置研究[J]. 振动与冲击, 2011, 30(2): 252-257

Qin Boyin;Lin Xiankun;Zhang Lingmi;Guo Qintao . Research on Optimal Sensor Placement Based on Integer-coded Genetic Algorithm[J]. Journal of Vibration and Shock, 2011, 30(2): 252-257