| 基于整数编码遗传算法的传感器优化配置研究 |
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| 引用本文： | 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. |
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| 作者姓名： | 覃柏英 林贤坤 张令弥 郭勤涛 |
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| 作者单位： | 1.宜宾学院 数学系，宜宾 644000; 2.南京航空航天大学 振动工程研究所，南京 210016；3.南京航空航天大学 机电学院，南京 210016 |
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| 基金项目： | 国家自然科学基金，江苏省交通科学研究计划资助项目，宜宾学院青年基金，广西工学院博士基金 |
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| 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。
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| 关 键 词： | 传感器 优化配置 组合优化问题 整数编码 遗传算法 |
| 收稿时间： | 2010-2-4 |
| 修稿时间： | 2010-5-7 |
Optimal sensor placement based on integer-coded genetic algrithm |
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| QIN Bo-ying,LIN Xian-kun,ZHANG Ling-mi,GUO Qin-tao.Optimal sensor placement based on integer-coded genetic algrithm[J].Journal of Vibration and Shock,2011,30(2):252-257. |
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| Authors: | QIN Bo-ying LIN Xian-kun ZHANG Ling-mi GUO Qin-tao |
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| Affiliation: | 1. Department of mathematics, Yibin University, Yibin644000; 2.Institute of Vibration Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016; 3.College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016 |
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| Abstract: | In order to dispose sensors to resonable degrees of freedom,and reflect adequately dynamic characteristics of a tested structure,the sensor placements of dynamic testing must be optimized.Here,taking MAC matrix,Fisher information matrix,and their combinations as optimization criteria,respectively,the integer-coded genetic algorithm was applied in a single-objective or multi-objective optimal sensor placement problem.Compared with three existing optimal sensor placement methods,modal kinetic energy method,ef... |
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| Keywords: | sensor optimal placement combined optimization problem integer coding genetic algorithm |
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