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压电驱动的桥式放大机构设计与优化
引用本文:伍建军,周敏,章仕磊.压电驱动的桥式放大机构设计与优化[J].科学技术与工程,2023,23(30):12951-12957.
作者姓名:伍建军  周敏  章仕磊
作者单位:江西理工大学
基金项目:柔顺机构可靠性屈曲行为与抗疲劳效应机理及贝叶斯健康早期退化预测(51665017)
摘    要:为了解决传统桥式放大机构的静力学建模中混淆了菱形结构和桥式结构的区别,以及忽略了刚性连杆变形的问题,通过欧拉-伯努利梁理论和能量守恒定律来计算放大倍数,使用ANSYS Workbench对各种理论模型计算的精度进行验证和对比。此外,通过径向基函数(RBF)神经网络模型和多岛遗传算法(MIGA)对桥式放大机构的参数进行优化。通过仿真分析结果表明,采用欧拉-伯努利梁理论与能量守恒定律计算的放大倍数与仿真值最接近,优化后的放大倍数增大了16.0%,固有频率增大了19.7%,可见所提出的理论模型和优化方法有效。

关 键 词:桥式放大机构  放大倍率  径向基函数神经网络  多岛遗传算法  参数设计
收稿时间:2022/12/8 0:00:00
修稿时间:2023/8/2 0:00:00

Design and optimization of piezoelectric driven bridge amplifier
Wu Jianjun,Zhou Min,Zhang Shilei.Design and optimization of piezoelectric driven bridge amplifier[J].Science Technology and Engineering,2023,23(30):12951-12957.
Authors:Wu Jianjun  Zhou Min  Zhang Shilei
Institution:Jiangxi University of Science and Technology
Abstract:In order to solve the problem of confusing the difference between rhombus structure and bridge structure in the static modeling of traditional bridge amplification mechanism, and ignoring the deformation of rigid link, the amplification factor is calculated by Euler-Bernoulli beam theory and energy conservation theory, and the accuracy of each theoretical model is verified and compared by using ANSYS Workbench. In addition, the radial basis function (RBF) neural network model and multi-island genetic algorithm (MIGA) are used to optimize the parameters of the bridge amplifier. The results of simulation analysis show that the amplification factor calculated by using Euler-Bernoulli beam model and energy conservation law is the closest to the simulation value. The optimized amplification factor increases by 16.0% and the natural frequency increases by 19.7%. It can be seen that the proposed theoretical model and optimization method are effective.
Keywords:Bridge amplifier  Magnification  Radial basis function neural network  Multi island genetic algorithm  Parameter design
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