基于小波分析的航空发动机起动过程失速检测系统设计

Design of stall detection system for aircraft engine starting process based on wavelet analysis

摘要:

航空发动机起动过程失速是影响发动机起动成功率与安全性的直接影响因素,为保证发动机的工作安全,设计基于小波分析的航空发动机起动过程失速检测系统。设计航空发动机转速、流量等传感器,为满足小波分析技术的运行要求,调整工作信号处理器的内部结构,改装系统主控单元,调整系统电路的连接方式,完成硬件部分的优化设计。从逻辑和物理两个方面,构建检测系统数据库。通过航空发动机起动过程的模拟,确定失速现象的检测标准。利用传感器设备采集航空发动机起动过程工作数据,利用小波分析技术的变换与分解操作,处理航空发动机工作数据,通过工作特征的提取与匹配,实现系统的航空发动机起动过程失速检测功能。通过系统测试实验得出结论:在理想和非理想场景下,与当前失速检测系统相比,优化设计系统的转速检测误差分别减小109.4r/min和128.1r/min,失速误检率分别降低了10%和25%,具有较好的应用性能。

Abstract:

The stall during the starting process of aircraft engines is a direct influencing factor on the success rate and safety of engine starting. To ensure the safety of engine operation, a stall detection system for aircraft engine starting process based on wavelet analysis is designed. Design sensors for aircraft engine speed and flow rate to meet the operational requirements of wavelet analysis technology. Adjust the internal structure of the working signal processor, modify the main control unit of the system, adjust the connection method of the system circuit, and complete the optimization design of the hardware part. Build a detection system database from both logical and physical aspects. Determine the detection criteria for stall phenomenon by simulating the starting process of aircraft engines. Using sensor devices to collect working data during the starting process of aircraft engines, utilizing the transformation and decomposition operations of wavelet analysis technology to process the working data of aircraft engines, and achieving the stall detection function of the system during the starting process of aircraft engines through the extraction and matching of working features. Through system testing experiments, it is concluded that in ideal and non ideal scenarios, compared with the current stall detection system, the optimized design system reduces the speed detection error by 109.4r/min and 128.1r/min, respectively, and the stall false detection rate is reduced by 10% and 25%, indicating good application performance.