基于门式反复单元的压力压力传感器的温度补偿方法
Mian Liu1, Zhiwu Wang1, Pingping Jiang1
1School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Sensors (Basel, Switzerland)
|August 29, 2024
概括
这项研究引入了一种新的RF-IWOA-GRU模型,通过解决温度漂移和歇斯底里,提高压力传感器的精度. 新方法显著提高了传感器的性能和稳定性.
科学领域:
- 传感器技术 传感器技术
- 材料科学 材料科学 材料科学
- 数据科学数据科学数据科学
背景情况:
- 压力压力传感器被广泛使用,但受到温度诱导漂移引起的准确性问题.
- 现有的补偿方法往往无法解释热歇斯底里,从而限制了它们的有效性.
研究的目的:
- 开发一个先进的温度补偿模型,用于解决热歇斯底里的压力传感器.
- 为了提高压力传感器在不同温度下测量的准确性和稳定性.
主要方法:
- 提出了一种新的RF-IWOA-GRU模型,它结合了随机森林 (RF) 进行数据插值,门式循环单元 (GRU) 网络用于依赖序列的漂移,以及改进的鱼优化算法 (IWOA) 进行优化.
- 在持续的温度和压力变化下进行了实验,以验证模型的性能.
主要成果:
- 与传统方法相比,RF-IWOA-GRU模型展示了优越的温度补偿能力.
- 在补偿后,压力的标准偏差从10.18 kPa下降到1.14 kPa.
- 平均绝对误差和根平均平方误差分别减少了75.10%和76.15%.
结论:
- 拟议的RF-IWOA-GRU模型有效地弥补了压力压力传感器中的温度漂移和歇斯底里.
- 这种先进的补偿策略显著提高了传感器的准确性和稳定性,优于传统技术.
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