研究目的
To propose a new measurement method for supraharmonics in 2-150 kHz based on compressive sensing to overcome the disadvantages of the 32 equal-width segments supraharmonics measurement method recommended in the newly revised standard IEC 61000-4-30, such as large frequency resolution and large effect of spectral leakage.
研究成果
A new supraharmonics measurement algorithm based on CS is presented. Simulation results and the analysis results of the actual measurement data show that the new CS method can overcome DFT algorithm’s mutual restriction between observation time and frequency resolution, and can improve the frequency resolution by an order-of-magnitude without extending the signal’s observation time, and the amplitude can also be calculated accurately.
研究不足
The study does not mention any specific limitations or areas for optimization in the proposed method.
1：Experimental Design and Method Selection:
The study introduces a compressive sensing (CS) model by introducing an interpolation factor, a DFT transform coefficient vector, and a Dirichlet kernel matrix. Based on an orthogonal matching pursuit algorithm, a new spectral with higher frequency resolution is recovered.
2：Sample Selection and Data Sources:
Simulation signals are set with specific parameters for supraharmonics. Actual measurement data from a wireless electric vehicle charging pile inverter output current is also used.
3：List of Experimental Equipment and Materials:
MR 8875 is used to record a wireless electric vehicle charging pile inverter output current.
4：Experimental Procedures and Operational Workflow:
For a 200ms window of data, frequency components below 2 kHz and above 150 kHz are filtered out using a digital filter. The filtered signal is then divided into 32 approximately equally-spaced measurements.
5：Data Analysis Methods:
The Discrete Fourier Transform (DFT) of the signal is expressed and analyzed. The compressive sensing model is used to calculate the vector with m sparsity.
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