固体火箭发动机水下试验的数据处理方法研究

推进技术 ›› 2013, Vol. 34 ›› Issue (8): 1128-1133.

固体火箭发动机水下试验的数据处理方法研究

商旭升¹,吴智锋²,何宇峰³

海军装备研究院,北京 100161;中国航天科工集团三十一研究所,北京 100074;空军跳伞运动大队,北京 102206

发布日期:2021-08-15
作者简介:商旭升(1966—),男,研究员,研究领域为发动机总体设计。E-mail:shxush@163.com

Analysis and Processing of Solid Rocket Motor Underwater Test Data

Navel Academy of Armament, Beijing 100161,China;The 31st Research Institute of CASIC,Beijing 100074,China;CPLA

Published:2021-08-15

摘要/Abstract

摘要： 针对固体火箭发动机水下试验数据参数变化剧烈、信号严重混迭及难以分辨的问题,提出了一种基于小波变换的软阈值去噪法,完成了固体火箭发动机水下试验推力数据的分析和处理。与传统数据处理方法对比分析表明:该方法可以将动态数据分解为反映过程“低频”特性的近似分量和反映“高频”特性的细节分量,便于对发动机性能进行分析;在去除试验数据干扰的同时保留了试验数据自身的变化特征,满足了工程应用对固体火箭发动机水下试验数据处理的要求。 

关键词: 固体火箭发动机;水下试验;信号处理;小波变换;软阈值;去噪法 

Abstract: Solid rocket motor underwater test parameters change dramatically and signals often overlap severely. In order to solve the problem arisen due to this in data processing, the denoising method based on soft threshold wavelet transform was proposed and the analysis and processing of data for testing the thrust of solid rocket motor under water was performed.Comparison with conventional method shows that this method can divid dynamic data into the approximate component to reflect ‘low frequency’ characteristics and the detail components to reflect the ‘high frequency’ characteristics.This method is convenient for analysis of the motor performance test data. Variation characteristics of the data can be well retained in the simultaneous removal of test data interference.It can meet the requirements of the engineering application for data processing in solid rocket motor underwater test.

Key words: Solid rocket motor; Underwater test; Signal processing; Wavelet transform;Soft threshold;Denoising method

商旭升,吴智锋,何宇峰. 固体火箭发动机水下试验的数据处理方法研究[J]. 推进技术, 2013, 34(8): 1128-1133.

SHANG Xu-sheng¹,WU Zhi-feng²,HE Yu-feng³. Analysis and Processing of Solid Rocket Motor Underwater Test Data[J]. Journal of Propulsion Technology, 2013, 34(8): 1128-1133.

参考文献

[1] Loth E, Faeth G M.Study of Plane under-Expanded Air Jets in Water[R].AIAA 1987-1798.
[2] Subramaniam K,Parthasarathy R,Chiang K M.Three-Dimensional Temporal Instability of Compressible Gas Jets Injeeted in Liquids[J].AIAA Journal,1999,37(2):202-207.
[3] 王宝寿,许展,易淑群,等.水下推力矢量特性试验研究[J].船舶力学,2004,4(5):9-15.
[4] 潘哲,王宝寿,宋志平.火箭发动机水下分离特性试验研究[J].船舶力学,2004,8(4):22-26.
[5] 许辉,火箭发动机水下六分力试验测试系统软硬件设计[D].南京:南京理工大学, 2001.
[6] 杨雪,张振鹏,赵学军,等．基于小波理论的液体火箭发动机试验数据噪声处理[J]．推进技术,2006,27(4).(YANG Xue,ZHANG Zhen-peng,ZHAO Xue-jun, et al.Noise Processing Based on Wavelet Analysis for Liquid Propellant Rocket Engine Test Data [J].Journal of Propulsion Technology, 2006,27(4).)
[7] 李建锋,施广富,张平．小波分析在固体发动机试验中振动信号去噪研究[J]．固体火箭技术,2002(4).
[8] 文莉 , 刘正士, 葛运建.小波去噪的几种方法[J].合肥工业大学学报,2002(2).
[9] David L Donoho.De-Noising by Soft-Thresholding[J].IEEE Trans.on Information Theory,1995,1(3):613-627.
[10] 李弼程,罗建书．小波分析及其应用[M]．北京:电子工业出版社,2003.
[11] 金宝龙,李辉,赵乃杰,等.一种新的小波阈值去噪算法[J].弹箭与制导学报,2011(1).
[12] 程中玉．高精度推力压力测试系统的动态补偿技术的研究[D]．南京:南京理工大学,2000.
[13] 许文博.小波去噪方法分析与研究[C].成都:四川省通信学会2011年学术年会论,2011.
[14] 高建波,杨恒, 胡鑫尧,等.基于最大熵原理的小波去噪方法[J].光谱学与光谱分析, 2001(5).
[15] 高成.Matlab 小波分析及应用[M].北京:国防工业出版社,2007.