一种基于数学形态学的颤振信号预处理方法  

A Method of Flutter Signal Preprocessing Based on Mathematical Morphology

作　　者：刘俊豪 裴承鸣[1] 郑华[1] 段世强 LIU Jun-hao;PEI Cheng-ming;ZHENG Hua;DUAN Shi-qiang(School of Power and Energy,Northwestern Polytechnical University,Xi’an Shanxi 710072,China)

机构地区：[1]西北工业大学动力与能源学院

出　　处：《计算机仿真》2019年第9期52-56,共5页Computer Simulation

摘　　要：颤振试验数据分析是获得飞行器颤振特性的重要途径。针对颤振试验信号普遍品质较差的特点,提出了一种应用数学形态学滤波方法对飞行器结构颤振实测信号进行预处理的思路,以达到提高颤振边界预测精度的目的。研究了形态学滤波的基本理论及在不同的形态学运算型式和结构元素下的滤波效果,同时给出了以形态学滤波为预处理的颤振信号处理流程及方法。最后通过数值仿真、低速风洞颤振试验和飞行颤振试验数据对该方法的有效性和工程实用性进行了验证。结果表明,基于形态学滤波的颤振边界预测方法在预测精度和抗噪性能方面能够满足实际工程中对颤振监测与分析的要求。Flutter test data analysis is an important way to obtain the flutter characteristics of the aircraft.Aiming at the poor general quality of flutter test signal,this paper puts forward a method of preprocessing the flutter measured signal of aircraft structure by applying mathematic morphology filtering method to achieve the purpose of improving the accuracy of flutter boundary prediction.The basic theory of morphological filtering and the filtering effect under different morphological operation patterns and structural elements were studied.At the same time,the processing flow and method of flutter signal processing with morphological filtering as preprocessing were given.Finally,numerical simulation,low-speed wind tunnel flutter test and flight flutter test data were used to verify the validity and practicality of the method.The results show that the morphological filtering based flutter boundary prediction method can meet the requirements of flutter monitoring and analysis in the actual engineering in terms of prediction accuracy and anti-noise performance.

关 键 词：数学形态学 形态学滤波 颤振边界预测 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]