针对非稳态谐波参数难以准确检测的问题,通过模态分量的能量贡献率改进变分模态分解,自适应分解谐波信号提取模态分量,以Kaiser窗与最大旁瓣衰减窗(maximum side-lobe decay window)构建新型K-M互卷积窗,推导基于K-M互卷积窗的双谱线非稳态谐波参数校正公式,据此提出基于自适应变分模态分解(variational modal decomposi-tion,VMD)与新型K-M互卷积窗的非稳态谐波参数检测方法,开发基于数字信号处理器(digital signal processer,DSP)的非稳态谐波参数分析实验平台.仿真分析与实测结果表明,所提方法能有效在噪声、基频波动干扰下准确检测非稳态谐波参数,跟传统谐波分析方法对比,所提方法可适用于非稳态谐波分析、谐波检测精度高.
Non-Stationary Harmonic Parameter Detection Method Based on Adaptive VMD and Novel K-M Convolution Window
Aiming at the problem that unsteady harmonic parameters are difficult to be accurately detected,this paper improves variational mode decomposition by means of the energy contribution rate of modal components,extractes modal components by adap-tive decomposition of harmonic signals,and constructes a new K-M mutual convolution window using Kaiser window and maximum side-lobe decay window.The correction formula of bispectral line unsteady harmonic parameters based on K-M mutual convolution window is derived,and the detection method of unsteady harmonic parameters based on adaptive variational modal decomposition(VMD)and a new K-M mutual convolution window is proposed,and the experimental platform of unsteady harmonic parameters analysis based on digital signal processer(DSP)is developed.Simulation analysis and actual measurement results show that the proposed method can effectively and accurately detect the unsteady harmonic parameters under the interference of noise and fundamental frequency fluctuation.Compared with the traditional harmonic analysis method,the proposed method is suitable for unsteady harmonic analysis and has high precision of harmonic detection.
万方数据
维普
