摘要
为提高微动平台的放大倍数和动态特性,提出一种径向基函数的微动平台代理模型,并基于该模型对微动平台结构进行优化.采用拉丁超立方抽样方法确定一系列样本点,利用ANSYS计算各样本点的响应值,根据径向基函数理论建立反映性能指标和设计变量之间的非线性函数模型,并用多目标遗传算法进行优化.比较分析优化结果与优化前的性能指标,固有频率提高了22.83%,放大倍数提高了40.80%,最大应力小于材料的屈服应力,并对优化后的微平台进行电压-位移实验,实验结果表明优化方法有效.
In order to improve the magnification and dynamic characteristics of micro-positioning stages,a micro-positioning stage′s proxy model based on radial basis function(RBF)was proposed.The structure of the micro-positioning stage was optimized based on the model.The Latin hypercube sampling(LHS)method was used to determine a series of sample points,and ANSYS was used to calculate response values of each sample point.Based on RBF theory,a nonlinear function model was established to reflect the performance index and design variables.The micro-positioning stage was then optimized by multi-objective genetic algorithm(MOGA).Compared with performance indexes before optimization,after the optimization,the micro-positioning stage′s natural frequency and magnification increased 22.83%,40.8%,respectively,and its maximum stress was less than the yield stress.The voltage-displacement experiment of the optimized micro-positioning stage was carried out.The result showed that the optimization method was effective.
作者
黄声德
刘静
代武川
HUANG Shengde;LIU Jing;DAI Wuchuan(School of Mechanical and Electrical Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,China;School of Architectural and Surveying&Mapping Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,China)
出处
《江西理工大学学报》
CAS
2019年第3期73-79,共7页
Journal of Jiangxi University of Science and Technology
基金
江西省研究生创新专项资金项目(YC2017-S291)
关键词
微动平台
径向基函数
代理模型
多目标遗传算法
micro-positioning stage
radial basis function
proxy model
multi-objective genetic algorithm
