基于粒子群算法的非平衡电桥不确定度评估优化方法研究

doi:10,14139/j.cnki.cn22-1228.2025.04.013

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摘要

为了减小非平衡电桥测量误差，提出了一种基于粒子群算法控制非平衡电桥不确定度的方法。首先建立了非平衡电桥不确定度评估模型，之后基于粒子群优化算法对各影响参数进行了寻优，最后开展了算法优化前后不确定度测量的比对实验，结果表明优化后可使得非平衡电桥测量的不确定度降低 96%。本方法可应用在需要进行电阻测量的各种教学实验中。

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	鲁政霆
	林嘉政
	杨玉林
	韩西达
	林旭东

关键词: 非平衡电桥误差分析不确定度评估粒子群优化算法

Abstract:

In order to reduce the measurement error of the unbalanced bridge，a method based on the particle swarm algorithm to control the uncertainty of the unbalanced bridge was proposed． First，the uncertainty evaluation model of the unbalanced bridge was established，and then the particle swarm algorithm was used to optimize the various influencing parameters．Finally，the comparison experiment of the uncertainty before and after the algorithm optimization was carried out．The results showed that the method of this paper can reduce the uncertainty of the unbalanced bridge measurement by 98． 64%，and could be applied to various teaching experiments that need resistance．

Key words: unbalanced bridge error analysis uncertainty evaluation particle swarm optimization algorithm

出版日期: 2025-08-25 发布日期: 2025-08-25 整期出版日期: 2025-08-25

ZTFLH:

O 59

基金资助:

国家重点研发专项(2022YFC2203800)

引用本文:

鲁政霆, 林嘉政, 杨玉林, 韩西达, 林旭东 . 基于粒子群算法的非平衡电桥不确定度评估优化方法研究 [J]. 大学物理实验, 2025, 38(4): 78-83.
LU Zhengting, LIN Jiazheng, YANG Yulin, HAN Xida, LIN Xudong . Ｒesearch on an Optimization Method of Uncertainty Evaluation for Unbalanced Bridge Based on Particle Swarm Optimization . Physical Experiment of College, 2025, 38(4): 78-83.

链接本文:

https://dawushiyan.jlict.edu.cn/CN/10,14139/j.cnki.cn22-1228.2025.04.013 或 https://dawushiyan.jlict.edu.cn/CN/Y2025/V38/I4/78

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