基于IQPSO的桥梁传感器优化布置  

OPTIMAL PLACEMENT OF BRIDGE SENSORS BASED ON IQPSO

作　　者：张安安[1] 吴翔 Zhang An an;Wu Xiang(Institute of Energy,Jiangxi Academy of Sciences,Nanchang 330096,Jiangxi,China;School of Electrical and Automation Engineering,East China Jiaotong University,Nanchang 330013,Jiangxi,China)

机构地区：[1]江西省科学院能源研究所,江西南昌330096 [2]华东交通大学电气与自动化工程学院,江西南昌330013

出　　处：《计算机应用与软件》2021年第4期43-47,57,共6页Computer Applications and Software

基　　金：国家自然科学基金项目(51767006);江西省重点研发计划项目(20181BBE50019);江西省应用研究培育计划项目(20181BBE58015);江西省教育厅科学技术项目(GJJ170378)。

摘　　要：鉴于现有桥梁结构健康监测传感器优化布置方法中的模态置信准则,x、y和z三个方向不能同时优化。将三个平移自由度用作结构节点上的独立单元,建立相应的三维模态置信准则。为了提高优化算法的收敛速度和性能,引入混沌搜索来提高初始种群质量;利用Levy分布增加粒子搜索空间;利用Cauchy变异因子来改变全局最优解决方案,从而避免本地化最佳。仿真结果表明,三维传感器能更充分地反映桥梁不同自由度的状态,降低了监测系统的成本。此外,改进的量子粒子群优化算法具有更好的收敛速度和优化能力,可以更好地解决传感器的最优放置问题。In view of the modal confidence criteria in the existing methods for optimizing sensor placement for bridge structural health monitoring,the three directions of x,y and z cannot be optimized simultaneously.In this paper,three translational degrees of freedom are used as independent elements on structural nodes to establish corresponding three-dimensional modal confidence criteria.In order to improve the convergence speed and performance of the optimization algorithm,this paper introduced chaotic search to improve the initial population quality;it used Levy distribution to increase the particle search space;the Cauchy mutation factor was used to change the global optimal solution,so as to avoid the localized optimal solution.The simulation results show that the three-dimensional sensor can more fully reflect the state of different degrees of freedom of the bridge and reduce the cost of the monitoring system.In addition,the improved QPSO has better convergence speed and optimization ability,and can better solve the optimal placement of sensors.

关 键 词：量子粒子群 混沌 Levy分布 柯西变异因子 传感器优化布置 三维模态置 信准则 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]