对非线性传感器进行细分的二维渐进多项式校准方法
1Department of Semiconductor Systems Engineering, Sejong University, Seoul 05006, Republic of Korea.
Sensors (Basel, Switzerland)
|November 9, 2024
概括
精确的传感器校准是至关重要的. 这项研究引入了细分校准方法,显著减少错误,提高精度,使传感器操作可靠,即使数据点较少.
科学领域:
- 传感器技术 传感器技术
- 计量学 计量学 计量学
- 校准技术 校准技术
背景情况:
- 传感器的非线性直接影响测量准确性,需要精确的校准以确保可靠的操作.
- 现有的单点校准方法可能会在整个输入范围中与复杂的非线性作斗争.
研究的目的:
- 提出和评估一个细分校准方法,以提高传感器的准确性.
- 与传统方法相比,以减少计算复杂性和提高校准效率.
主要方法:
- 输入范围被分为多个部分,每个部分的优化校准函数被确定.
- 修改后的渐进多项式校准技术用于计算校准函数,允许减少多项式度.
- 该方法扩展到两个维度,以解决交叉灵敏度错误.
主要成果:
- 分段校准方法的错误率为0.000006%,比单一校准方法的0.0823%的错误率大大提高.
- 通过更少的校准点保持精度,并减少计算复杂性.
- 二维模拟显示,在8位系统中,错误率从15.84%降至2.07%
结论:
- 分段校准是一种有效和可扩展的解决方案,可以提高传感器的准确性和可靠性.
- 该方法提供了较低的计算负载和增强的性能,适合各种传感器应用.
- 扩展到多维校准有效地减轻了交叉灵敏度错误.
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