基于遗传算法的静电微致动器结构分析

Atal.A. Kumar
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引用次数: 0

摘要

本研究利用遗传算法(GA)技术,基于连续模型对静电驱动微梁的拉入参数(拉入电压和拉入位移)进行预测。由于静电力的作用,被动电极与固定电极直接接触的现象称为拉入不稳定性。在静电微执行器的设计中,准确确定拉入参数是至关重要的。采用遗传算法求解非线性静电束方程,并与COMSOL法和Energy法求解结果进行了比较研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electrostatic Micro-actuator StructuralAnalysis Using Genetic Algorithm
This study is devoted to providing predictions of the pull-in parameters (pull-in voltage and pull-in displacement) of electro-statically actuated micro-beams based on a continuous model using Genetic Algorithm (GA) technique. A phenomenon in which the actuated electrode comes in direct contact with the fixed electrode due to the electrostatic force is called pull-in instability. Accurate determination of pull-in parameters is vital in the design of electrostatic micro-actuators. The non-linear electrostatic beam equation is solved using GA and a comparative study is presented with the solutions obtained using COMSOL and Energy technique.
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