基于非线性自适应观察者的传感器故障检测和隔离:在部分故障下处理错误报警的新方法
R F Escobar-Jiménez1, V M Salinas-Cortés1, L F De Olarte-Delgado1
1Tecnológico Nacional de México/Centro Nacional de Investigación y Desarrollo Tecnológico. Int. Internado Palmira S/N, Palmira, C.P.62490, Cuernavaca, Morelos, Mexico.
ISA transactions
|May 21, 2025
概括
本研究介绍了一种使用内燃机传感器非线性自适应观察器 (NAO) 的故障检测和隔离 (FDI) 系统. 该系统准确地诊断多个传感器故障,同时尽量减少虚假报警.
科学领域:
- 汽车工程 汽车工程
- 控制系统 控制系统
- 传感器技术 传感器技术
背景情况:
- 内部燃烧发动机 (ICE) 依赖于众多传感器以获得最佳性能.
- 传感器故障可能导致不准确的读数,降低效率和潜在的发动机损坏.
- 现有的故障检测方法可能会与复杂,同时或部分传感器故障作斗争.
研究的目的:
- 为ICE传感器开发和验证一个强大的故障检测和隔离 (FDI) 系统.
- 通过分析冗余来提高诊断的准确性和可靠性.
- 为了最大限度地减少错误警报,特别是在部分传感器故障条件下.
主要方法:
- 实施两个非线性自适应观察器 (NAO) 来建立分析冗余.
- 构建一个观察银行来估计关键的发动机参数 (空气-燃料比,温度,压力).
- 整合一个使用残余方差分析和滑窗欧几里德标准检测故障的值机制.
主要成果:
- 直接投资系统在实验数据中成功检测出多个同时发生的传感器故障.
- 拟议的门机制有效地减少了部分故障诊断期间的错误报警.
- 即使部分或全部的传感器故障,ICE传感器的连续诊断也保持不变.
结论:
- 开发的FDI系统为诊断内燃机传感器故障提供了可靠的解决方案.
- 非线性自适应观察器为增强的传感器监控提供了有效的分析冗余.
- 该系统通过准确的故障检测显示了提高发动机可靠性和性能的巨大潜力.
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