基于HGSA的起重机振动监测传感器布置及应用

Arrangement and Application of Crane Vibration Monitoring Sensors Based on HGSA

为解决起重机械监测传感器布置手段缺失、布置点位搜索效率低,测点不够准确的问题,提出了一种基于和声遗传搜索算法(harmony genetic search algorithm,简称HGSA)的振动传感器布置方法。首先,建立模型进行模态分析,得到各阶位移矩阵,通过参数对比建立最优参数组合;其次,采用随机搜索机制对位移矩阵进行快速搜索得到初步解;然后,通过对初步解进行反复遗传和变异迭代得到最优解;最后,以门式起重机试验装置为对象,采用模态数据分析系统分别对HGSA、和声搜索(harmony search,简称HS)和遗传算法(genetic algorithm,简称GA)得到的传感器布置方案进行对比。结果表明,HGSA得到的测点频率响应函数峰值更大,能够更加有效地反映结构的振动响应。该方法为起重机械振动监测传感器安装提供了一种新手段。

In order to solve the problems of missing sensor placement methods,low search efficiency of placement points,and inaccurate measurement points in crane monitoring,a vibration sensor placement method based on the harmony genetic search algorithm(HGSA)is proposed.Firstly,establish a model for modal analysis is established to obtain the displacement matrices of each order and establish the optimal parameter combination through parameter comparison.Secondly,a random search mechanism is used to quickly search the displacement matrix to obtain preliminary solutions.Then,the optimal solution is obtained through repeated genetic and mutation iterations of the initial solution.Finally,taking the Gantry crane test device as the object,the modal data analysis system is used to compare the sensor layout schemes obtained by HGSA,harmony search(HS)and genetic algorithm(GA).The results indicate that the peak value of the frequency response function obtained by HGSA is larger,which can more effectively reflect the vibration response of the structure.This method provides a new method for installing vibration monitoring sensors in lifting machinery.