引气管路气动损失补偿算法的研究

Research on Compensation Algorithms for Pneumatic Distortion of Pneumatic Tube

针对基于矢量传感器的嵌入式大气数据传感(Flush Air-Data Sensing,FADS)系统速度信号失真问题,提出了一种对引气管路的速度误差和延迟进行补偿的算法。介绍了运用基于矢量传感器的嵌入式大气传感系统测量气流速度的原理,通过差分运算将系统的气动衰减模型降阶成一个简单的二阶状态变量模型,并且通过全模型和降阶模型的频率响应对比实验,证明了降阶模型保留了全模型的大部分动态特性。运用了最小方差估计和卡尔曼滤波理论,针对状态变量模型得到了补偿气动损失的算法。该算法包括飞行后的平滑算法和实时滤波算法。仿真和风洞试验比较和分析了两种算法的性能。

Based on the problem for velocity attenuation of Flush Air-Data Sensing （FADS） system, a compensation algorithm was developed to compensate for the pneumatic distortion. The principle of velocity measurement by Flush Air Data Sensing （FADS） system based on vector sensor was introduced, the attenuation model was reduced to a second order, state variable model, the comparison of frequency response with both model verifying that the reduced model remains the most dynamic characteristics of the original one. Then, based on the state variable model, the algorithm to compensate for distortion was developed by utilizing minimum estimation theory and Kalman filtering algorithm. The algorithm contains post-flight and real-time algorithms. Both algorithms were verified by simulated and wind tunnel experiment.