水上飞机耐波性试验数据处理软件开发及应用  

Development and Application of Data Processing Software for Seakeeping Test of Seaplane

作　　者：王冠 许靖锋 WANG Guan;XU Jingfeng(Special Vehicle Research Institute,AVIC,Jingmen 448035;Key Laboratory of High Speed Hydrodynamic Aviation Science and Technology,Jingmen 448035)

机构地区：[1]中国特种飞行器研究所,荆门448035 [2]高速水动力航空科技重点实验室,荆门448035

出　　处：《舰船电子工程》2024年第7期113-116,共4页Ship Electronic Engineering

基　　金：工信部民用飞机专项科研项目(编号:MJZ5-3N21-1)资助。

摘　　要：在水上飞机模型耐波性试验中,试验环境会对试验数据产生干扰,常规的数据处理手段难以剔除干扰信号。针对该问题,基于LabVIEW和Matlab平台,开发了一套水上飞机耐波性试验数据处理软件,并通过仿真数据验证了该软件的功能性。软件以巴特沃斯低通滤波器和经验模态分解(EMD)联合数据处理方法为核心,通过对试验数据先采用低通滤波,然后进行模态分解的方法,剔除数据中的干扰信号。实际应用结果表明,该软件能够有效去除数据中的干扰项和执行统计值分析,并提供数据输出功能,提高数据处理效率和处理精度。In the seakeeping test of Seaplane model,the test environment will interfere with the test data,and it is difficult for conventional data processing methods to eliminate interference signals.To solve this problem,a data processing software for sea-keeping test of Seaplane is developed based on LabVIEW and Matlab platform,and its functionality is verified by simulation data.The software is based on the joint data processing method of Butterworth low-pass filter and Empirical Mode Decomposition(EMD).By first using low-pass filter and then performing modal decomposition on the experimental data,interference signals are removed from the data.The practical application results show that the software can effectively remove interference items from the da-ta,perform statistical value analysis,and provide data output function,improving data processing efficiency and accuracy.

关 键 词：水上飞机 低通滤波 EMD 耐波性试验 LABVIEW MATLAB 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]