论文部分内容阅读
在改进算法的 Moore- Greitzer简化模型的基础上 ,成功地模拟了失速旋转波的动态发展过程 ,并指出了一阶拟线性 M- G模型不能模拟非线性很强的小失速团发展过程。建立了一个旨在捕捉失速先兆的测试系统。采用 8个高频动态压力传感器感受压气机转子叶尖失速前后的动态压力信号。通过谐波 Fourier系数 (SFC) ,系统辨识等失速先兆信号分析方法 ,成功地识别出了大尺度旋转波和小尺度失速团两种截然不同的失速先兆信号。提出了旋转波和小失速团这两种失速先兆形成和发展的机理及转化的条件在理论上的共同点 ,并得到实验上的验证。
Based on the Moore-Greitzer simplified model of the improved algorithm, the dynamic development of stalling rotational wave is successfully simulated. It is pointed out that the first-order quasi-linear M-G model can not simulate the development of small non-linear small-scale stalls. A test system was set up to capture the aura of stalling. Adopting 8 high-frequency dynamic pressure sensors to sense the dynamic pressure signal before and after the compressor rotor tip stall. By means of harmonic Fourier coefficient (SFC), system identification and other analysis methods of stalling precursors, two completely different stalling precursors of large-scale and small-scale stalling groups have been successfully identified. The mechanism of formation and development of two kinds of stalling precursors, namely the rotating wave and the small stall group, and the conditions of the transformation are theoretically common and are verified experimentally.