基于改进ARMA模型的火箭发动机稳态工况过程实时故障诊断方法研究

Study on Real-Time Diagnosis Method of the Main Stage Working Condition of Rocket Engine Based on Improved ARMA Model

摘要:

针对大推力氢氧补燃循环发动机的主级工况，设计了基于ARMA模型的实时故障诊断算法，并改进了阈值求解方法以及故障判别准则，通过仿真验证，证明了改进算法的高效性及有效性，为建立大推力氢氧补燃循环发动机健康监控系统奠定了基础。首先，建立了大推力氢氧补燃循环发动机的故障模型，得到了典型故障的故障数据；接着，设计了改进的ARMA模型、阈值求解算法和故障判别准则；最后进行仿真分析，结果表明改进算法能够在毫秒的量级诊断出各典型故障，满足了发动机故障诊断系统设计的要求。

Abstract:

Aiming at the heavy-lift LH2/LOX staged combustion cycle engine, a real-time fault diagnosis algorithm based on ARMA model was designed for the main stage working condition of the rocket engine. The threshold solution method and fault discrimination criteria were also improved, which is the foundation of liquid rocket health management system. Firstly, the fault model of the engine was established, and the fault data of typical faults were obtained; Secondly, an improved ARMA model, threshold algorithm and fault discrimination criterion were designed; Finally, the simulation results show that the improved algorithm could be implemented in milliseconds, and meet the requirements of the engine fault diagnosis system.