基于反驱动的随机共振与PSO的RTD流门的灵敏度改进方法研究
Rui Wang1, Na Pang1, Haibo Guo1
1College of Computer Science and Technology, Beihua University, No. 3999 East Binjiang Road, Jilin 132013, China.
Sensors (Basel, Switzerland)
|January 25, 2025
概括
这项研究增强了无人机 (UAV) 空磁测量所使用的居住时间差 (RTD) 流门传感器. 通过利用粒子群集优化 (PSO) 优化反控制,可以提高传感器的灵敏度,减少噪音干扰.
科学领域:
- 地质物理学 地质物理学
- 传感器技术 传感器技术
- 航空磁力测量 航空磁力测量
背景情况:
- 居住时间差 (RTD) 流门传感器对于无人机 (UAV) 空磁测量至关重要.
- 传感器的灵敏度受到高透性软磁芯的限制,该软磁芯易受输入噪声的影响.
研究的目的:
- 为了提高无人机空气磁性测量RTD流门传感器的灵敏度和减少噪声干扰.
- 通过利用软磁核的磁性特性来探索随机共振的应用.
主要方法:
- 随机共振是通过添加反来诱导的,利用核心的高hysteresis循环矩形比率,低强制性和双稳定性.
- 开发了一个传感器的Simulink模型,具有奇数多项式反控制.
- 使用粒子集群优化 (PSO) 算法来优化反函数系数.
主要成果:
- 使用PSO优化反系数成功诱导了传感器中的共振状态.
- 传感器的灵敏度至少提高了23.5%.
- 噪音干扰有效地减少,提高了传感器的整体性能.
结论:
- 拟议的方法提高了用于无人机气磁测量的RTD流门传感器性能.
- 这项研究为未来空气磁探测技术的进步提供了基础.
- 随机共振为改善噪音环境中的传感器精度提供了一种可行的策略.
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