Pneumatic pressure control based on improved NMPC and its application to aeroengine surge simulation

In the semi-physical simulation of aeroengines, using the pneumatic pressure servo control technology to provide realistic pneumatic excitation to the sensors and electronic controller can improve the confidence of the simulation and reduce the test cost and risk. However, the existing methods could not satisfy the precise simulation of large-amplitude and high-frequency pulsating pressure during aeroengine surge. In this paper, a pneumatic pressure control system with asymmetric groups of the High-Speed on–off Valve (HSV) is designed, and an Improved Nonlinear Model Predictive Control (INMPC) method is proposed. First, the volumetric flow characteristics of HSV are tested and analyzed with Pulse Width Modulation (PWM) signal input. Then, a simplified HSV model with the volume flow characteristic correction is developed. Based on these, an integrated model for the whole system is further established and used as the prediction model in INMPC. To improve the computational speed of the rolling optimization process, the mapping scheme from control signal to PWM duty cycle of HSVs and the objective function with exterior penalty function are designed. Finally, the random step, sinusoidal and real engine surge data are set as the reference pressure in multiple comparative experiments to verify the effectiveness of the pressure tracking system.     

A high-safety active/passive hybrid control approach for compressor surge based on nonlinear model predictive control

Surge active control can expand the stable operating range of the compressor. However, the difficulty of flow measurement, dynamic uncertainty disturbance, actuator delay characteristics, hard constraints of control variable, and system security measures have not been fully considered in the existing active control system, which significantly hinders its engineering application. Therefore, a nonlinear model predictive surge active control method is first presented based on flow estimator designed by using a continuous-time Kalman filter for dealing with the hard constraint of control variable and the impact of actuator delay of compression system with dynamic uncertainty. Then, a high-safety active/surge passive hybrid control strategy is designed, dominated by the surge active control and supplemented by the surge passive control, to ensure the compression system’s safe and stable operation. Lastly, the simulation results suggest that the flow estimator accurately estimates the compressor flow. When considering the delay impact of the actuators and sensors and measurement noise on the system, the proposed method exhibits stronger robustness than the existing methods. The active/surge passive hybrid control strategy can successfully ensure the compression system's safe and stable operation. This paper is of high practical significance for the engineering application of future compressor surge active control technologies.     

Gamma过程退化失效可靠性分析

退化型失效产品,可通过退化失效分析对其进行可靠性统计推断。性能退化一般是一个随机过程,并且是单调变化的,为描述产品的退化,给出了一个随机Gamma过程模型,通过求解该过程的首达时分布即可获得产品的失效分布。由于解析方法求解存在很大的难度,给出了一种基于仿真的求解方法。利用所得模型对强激光装置所用的某型金属化膜脉冲电容器进行了可靠性分析,说明了模型的适用性。     

跨声速压气机叶片掠和机匣处理组合效应的机理研究

针对典型跨声速压气机转子，采用非定常数值模拟方法研究了叶片掠设计和机匣处理的组合作用对压气机转子性能的综合影响。分别探讨了转子前掠、后掠和掠叶片与机匣处理组合等形式对转子峰值效率和稳定工作裕度的影响效果和内在机制。研究发现，前掠转子与机匣处理组合能够以较小的效率损失（-0.56%）为代价获得最佳的扩稳效果；在前掠转子与机匣处理组合作用下，对间隙泄漏流的动量激励和叶顶低能堵塞流体的有效消除是组合机匣处理扩稳的本质原因。结果表明，采取前掠转子和机匣处理的组合形式，可以弥补前掠转子设计损失转子最大负荷的不足，同时以较少的效率损失代价充分发挥了机匣处理的扩稳潜力。     

复合材料风扇叶片高周疲劳薄弱点位置预测

提出了一种复合材料风扇叶片高周疲劳薄弱点位置预测方法.利用铺层信息文件,在ACP(ANSYS Composite Pre-Post)中通过壳单元法向拉伸建立全尺寸风扇叶片有限元模型,基于ANSYS-Work-bench和Tecplot底层函数接口,开发的后处理程序完成铺层叶片有限元数据提取和数据库建立.根据复合材料CL...