引气管路气动损失补偿算法的研究

doi:10.16182/j.issn1004731x.joss.201703023

系统仿真学报 ›› 2017, Vol. 29 ›› Issue (3): 639-645.doi: 10.16182/j.issn1004731x.joss.201703023

引气管路气动损失补偿算法的研究

戴海发¹, 陶建武¹, 杨越明²

1.空军航空大学飞行器控制系,吉林长春 130022;
2.空军航空大学航空理论系,吉林长春 130022

收稿日期:2015-06-19 修回日期:2015-11-12 出版日期:2017-03-08 发布日期:2020-06-02
作者简介:戴海发(1990-),男,福建龙岩,博士生,研究方向为内流空气动力学。
基金资助:
国家自然科学基金(61172126),吉林省自然科学基金(20140101073JC)

Research on Compensation Algorithms for Pneumatic Distortion of Pneumatic Tube

Dai Haifa¹, Tao Jianwu¹, Yang Yueming²

1. Department of Flight Vehicle Control, Aviation University of Air Force, Changchun 130022, China;
2. Department of Aviation Theory, Aviation University of Air Force, Changchun 130022, China

Received:2015-06-19 Revised:2015-11-12 Online:2017-03-08 Published:2020-06-02

摘要/Abstract

摘要： 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。

关键词: 嵌入式大气数据传感系统, 速度失真, 引气管路, 补偿算法

Abstract: 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.

Key words: flush air-data sensing (FADS) system, velocity distortion, pneumatic tube, compensate algorithm

中图分类号:

V211.1

戴海发, 陶建武, 杨越明. 引气管路气动损失补偿算法的研究[J]. 系统仿真学报, 2017, 29(3): 639-645.

Dai Haifa, Tao Jianwu, Yang Yueming. Research on Compensation Algorithms for Pneumatic Distortion of Pneumatic Tube[J]. Journal of System Simulation, 2017, 29(3): 639-645.

参考文献

[1] 柏楠, 时兆峰. 空天飞行器大气传感算法研究[J]. 飞航导弹, 2015, 7(4): 89-94.
(Bai Nan, Shi Zhaofeng.Analysis of Atmospheric Sensing Algorithms for Aerospace Vehicle[J]. Flying Missiles, 2015, 7(4): 89-94.)
[2] Ying Chen, Xianbin Yu, Hao Chi.Compressive sensing with a microwave photonic filter[J]. Optics Communications, 2015, 38(1): 428-432.)
[3] 王希洋, 柏楠, 苑景春. FADS系统变管径引气管路压力延迟误差补偿方法[J]. 战术导弹技术, 2015(2): 37-42.
(Wang Xiyang, Bai Nan, Yuan Jingchun.Pressure Delay Error Compensation Method for Variable-Diameter Air-Breathing Pipes in FADS System[J]. Tactical Missile Technology, 2015(2): 37-42.)
[4] 虞飞, 陶建武, 钱立林. 基于声波传播时间估计的气流速度测量方法[J]. 航空学报, 2015, 36(4): 1285-1298.
(Yu Fei, Tao Jianwu, Qian Lilin.Measurement of Air Velocity Based on Acoustic Propagation Time Estimation[J]. Acta Astronautica Sinica, 2015, 36(4): 1285-1298.)
[5] 陈诚, 陶建武. 基于声矢量传感器阵列的鲁棒空气速度估计算法[J]. 航空学报, 2013, 34(2): 361-370.
(Chen Cheng, Tao Jianwu.A Robust Air Velocity Estimation Algorithm Based on Acoustic Vector Sensor Array[J]. Acta Astronautica Sinica, 2013, 34(2): 361-370.)
[6] Zeng B, Tao J, Yu F, et al.A new airspeed estimation method for supersonic flow[C]// IEEE International Conference on Signal Processing, Communication and Computing. USA: IEEE, 2013:1-4.
[7] Jost M, Schwegmann M, Kohler T.Flush airdata sensing system-an advance air data system for the aerospace industry[C]// AIAA 2004-5028. Germany: EADS- European Aeronautic Defence and Space Company AG-Military Aircraft, 81663, Munich, 2004: 1-15.
[8] Ellsworth J, Whitmore S.Reentry Air Data for a Sub-orbital Spacecraft Based on X-34 Design[C]// AIAA Aerospace Sciences Meeting and Exhibit, USA: AIAA, 2007.
[9] Alnimr M A, Hammoudeh V A, Hamdan M A.Effect of Velocity-Slip Boundary Conditions on Jeffery-Hamel Flow Solutions[J]. Journal of Applied Mechanics, 2010, 77(4): 615-622.
[10] 周江华, 苗育红. 基于矢量观测的最小方差姿态估计算法[J]. 宇航学报. 2009, 30(5): 377-397.
(Zhou Jianghua, Miao Yuhong.A minimum variance attitude estimation algorithm based on vector observation[J]. Acta Astronautica Sinica, 2009, 30(5): 377-397.)
[11] 占荣辉. 非线性滤波理论与目标跟踪应用 [M]. 北京: 国防工业出版社, 2013.
(Zhan Ronghui.Non-linear filtering theory and application of target tracking [M]. Beijing, China: National Defense Industry Press, 2013.
[12] Stefan I Adalbjornsson.Efficient Block and Time-recursive estimation of Sparse Volterra Systems[C]// 2012 IEEE Statistical Signal Processing Workshop. USA: IEEE, 2012: 173-176.

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

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 0

编辑推荐

Metrics

本文评价