带有双醇-D棒的巨型磁强制变频器的动态特征模型
Yafang Li1, Xia Dong1, Xiaodong Yu1
1School of Information and Automation Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China.
Micromachines
|June 28, 2023
概括
一个新的动态模型准确地预测了巨型磁力强制传感器的性能,包括位移,加速和力. 该模型考虑了非线性,这对于振动控制和能量收集等应用至关重要.
科学领域:
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
- 物理 物理学 物理
背景情况:
- 巨型强磁传感器 (GMT) 对于诸如主动振动控制,微定位,能量采集和超声波加工等应用至关重要.
- 传感器的行为因固有的歇斯底里和合效应而复杂,需要准确的性能预测.
- 了解和建模这些非线性对于优化GMT性能至关重要.
研究的目的:
- 开发一个动态特征模型,用于巨大的磁力强制传感器.
- 描述传感器行为中的非线性,重点关注输出位移,加速和力.
- 调查运行条件对特尔D性能的影响,并提出磁力机械模型.
主要方法:
- 开发了一种新的动态特征建模方法来捕获传感器非线性.
- 制定了一个磁力机械模型来描述传感器的行为.
- 一个原型传感器被制造出来,并在各种工作条件下进行实验测试.
- 从模型的理论预测与移位,加速和力实验数据进行了比较.
主要成果:
- 拟议的模型准确地预测了关键输出特征:位移幅度 (约. 49微米),加速度幅度 (大约. 1943 m/s2),以及力幅度 (大约. 20 N) 的时间.
- 实验验证表明模型与实际性能之间的误差最小:位移 (3μm),加速 (57 m/s2) 和力 (0.2 N).
- 该研究证实了计算和实验结果之间的良好一致性,验证了该模型的有效性.
结论:
- 开发的动态特征模型有效地描述了巨型磁力强制传感器的非线性行为.
- 该模型的准确性,经实验数据验证,适用于预测各种应用中的传感器性能.
- 这项研究为设计和优化GMT用于主动振动控制,能量收集和其他先进系统提供了可靠的工具.
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