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基于颗粒过器的故障诊断,用于开放循环液体燃料火箭发动机的启动过程

Jihyoung Cha¹, Sangho Ko², Soon-Young Park³

¹Centre for Aeronautics, Cranfield University, Cranfield MK43 0AL, UK.

Sensors (Basel, Switzerland)

|May 11, 2024

概括

使用颗粒过 (PF) 的新故障诊断算法提高了液体推进燃料火箭发动机 (LPREs) 的安全性. 这种基于模型的方法在关键启动阶段显著改善了故障检测,优于以前的方法.

科学领域:

航空航天工程航空航天工程
机械工程机械工程
控制系统控制系统

背景情况:

开放循环液体推进火箭发动机 (LPREs) 在启动过程中遇到超过30%的故障.
现有的LPRE启动故障检测和诊断 (FDD) 算法需要提高可靠性.

研究的目的:

为LPRE启动开发和验证一种基于模型的新型故障诊断算法.
提高FDD系统在关键航空航天应用中的准确性和性能.

主要方法:

使用颗粒过器 (PF),理论上最优的非线性过器,用于残留生成.
整合了PF与修改后的累积和 (CUSUM) 算法和多模型 (MM) 方法用于故障检测和诊断.
使用数值模拟和蒙特卡洛分析进行算法验证和比较.

主要成果:

基于PF的FDD算法在模拟的LPRE启动过程中成功检测和诊断了故障.
使用CUSUM和MM方法进行的数值确认验证了算法的有效性.
对比分析表明,基于PF的FDD算法比以前基于非线性波器的方法具有更高的性能.

结论:

提出的基于颗粒过器的故障诊断算法为LPRE启动安全提供了显著的进步.
这种增强的FDD方法为识别和解决发动机故障提供了更可靠的方法.
该研究强调了先进的非线性过技术在航空航天系统监测中的潜力.

关键词:

这就是CUSUM算法.检测和诊断故障的检测和诊断.液体推进剂火箭发动机的火箭发动机使用液体推进剂.多个模型方法的方法.颗粒过器的粒子过器启动过程启动过程.

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