基于参数优化的ICEEMDAN-MEMS陀螺信号处理研究  

Research on ICEEMDAN-MEMS Gyroscopic Signal Processing Based on Parameter Optimization

作　　者：时英元 郭涛[1] 梁颖 SHI Yingyuan;GUO Tao;LIANG Ying(Key Laboratory of Electronic Testing Technology for National Defense Science and Technology,North University of China,Taiyuan 030051,China;Beijing Aerospace Wanyuan Technology Co.,Ltd.,Beijing 100000,China)

机构地区：[1]中北大学电子测试技术国防科技重点实验室,太原030051 [2]北京航天万源科技有限公司,北京100000

出　　处：《自动化与仪器仪表》2024年第4期5-10,共6页Automation & Instrumentation

基　　金：国家自然科学基金面上项目(极端环境下零维多相防护结构连续多脉冲动力学响应机理及测试技术研究)(52375553)。

摘　　要：航空飞行器多维智能感知系统极端应用环境中,MEMS陀螺的输出信号中会含有各种噪声,进而影响系统后续的导航任务。为了改善MEMS陀螺输出信号的质量,提出了一种参数优化的改进的自适应噪声完全集成经验模态分解(ICEEMDAN)的MEMS陀螺信号滤波方法。首先通过灰狼优化算法(GWO)对ICEEMDAN的参数进行优化;对MEMS陀螺的输出信号进行分解,得到若干个本征模态函数(IMF),并根据排列熵对分量进行划分,并使用递归最小二乘算法(RLS)对混合分量进行滤波;最后将信号重构得到最终信号。对系统实测数据进行处理,分析结果表明:与原始信号相比,降噪后的MEMS陀螺输出信号均方根误差(RMSE)降低了78.6%,该算法可有效地去除输出信号中的噪声,具备一定的工程应用价值。In extreme application environments of multi-dimensional intelligent perception systems for aircraft,the output signal of MEMS gyroscopes will contain various noises,which will affect the subsequent navigation tasks of the system.In order to improve the quality of MEMS gyroscope output signals,an improved adaptive noise fully integrated empirical mode decomposition(ICEEMDAN)MEMS gyroscope signal filtering method with parameter optimization is proposed.Firstly,optimize the parameters of ICEEMDAN using the Grey Wolf Optimization Algorithm(GWO);Decompose the output signal of MEMS gyroscopes to obtain several intrinsic mode functions(IMFs),divide the components based on permutation entropy,and use recursive least squares algorithm(RLS)to filter the mixed components;Finally,the signal is reconstructed to obtain the final signal.The experimental data of the system was processed,and the analysis results showed that compared with the original signal,the root mean square error(RMSE)of the output signal of the MEMS gyroscope after noise reduction was reduced by 78.6%.This algorithm can effectively remove noise from the output signal and has certain engineering application value.

关 键 词：MEMS陀螺 信号去噪 排列熵 递归最小二乘算法 

分 类 号：TP212.1[自动化与计算机技术—检测技术与自动化装置]