基于SAPSO-RBF算法的光电子扭矩测量系统
Kun Xia1, Yang Lou1, Qingqing Yuan1
1Department of Electrical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Sensors (Basel, Switzerland)
|March 13, 2024
概括
本研究介绍了一种用于动力系统的新型光电扭矩测量系统. 新方法提高了精度和校准,将测量误差降低到0.92%.
科学领域:
- 电气工程 电气工程
- 机械工程 机械工程
- 传感器技术 传感器技术
背景情况:
- 精确的扭矩测量对于动力系统的安全性和稳定性至关重要.
- 传统的张力计方法由于粘附而存在准确性和可重复性问题.
- 现有的系统缺乏可追溯性,并受到环境因素的影响.
研究的目的:
- 引入一个先进的光电扭矩测量系统.
- 为了克服传统的基于张力计的扭矩传感器的局限性.
- 提高动力系统扭矩测量的准确性和可靠性.
主要方法:
- 利用光电传感器的象限来检测旋转轴上的扭矩诱导的变形.
- 开发了一种与粒子群算法 (SAPSO) 结合的模拟火,以优化辐射基函数神经网络 (RBF).
- 使用SAPSO-RBF模型对标准参考进行校准测量扭矩值.
主要成果:
- 光电系统准确地确定扭矩测量.
- 在SAPSO-RBF模型有效校准传感器读数.
- 实现了0.92%的最小测量误差.
结论:
- 拟议的光电扭矩测量系统提供了高精度和可靠性.
- 在SAPSO-RBF优化显著提高校准性能.
- 这项技术为动力系统扭矩监控提供了可追踪和稳定的解决方案.
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