风扇/压气机失稳辨识系统设计与验证

Design and experimental investigation of instability identification system for fan and compressor

失速和喘振是航空发动机试验中常遇的两类气动失稳现象,为保障发动机零部件试验安全运转,必须对失速喘振信号进行在线检测控制。根据零部件试车台架的需求,设计了失速喘振辨识算法并对影响辨识算法的关键因素进行了分析,通过小型嵌入式系统为硬件平台实现了失稳辨识系统在线检测功能。该失稳辨识系统具有体积小、实时性强、抗干扰能力强的特点。在多个型号零部件试验件的应用表明,该系统能有效识别发动机深度失速和喘振状态,满足航空发动机风扇/压气机对失速喘振在线检测控制的要求,具有较高的工程应用价值。

Stall and surge are two typical kinds of instability in aero-engine tests. Stall and surge identification on line should be monitored and controlled to ensure the safe operation of aero-engine component test. According to the design of component test rig, stall/surge identification algorithm was designed and influencing key factors were analyzed. In addition, through small embedded system, the online checking of instabili- ty identification system for hardware platform was realized, which is characterized by small volume, real time computation and anti-electronic obstruction. The application on multiple test specimen shows that the system can identify stall and surge status effectively, which could satisfy the demands of fan/compressor on stall/surge online detection with certain engineering application value.