- Tytuł:
- Tracking error analysis method of digital pulse power supply for heavy ion accelerator based on emd reconstruction
- Autorzy:
-
Wang, Rongkun
Sun, Sigun
Hu, Bingtao - Powiązania:
- https://bibliotekanauki.pl/articles/221317.pdf
- Data publikacji:
- 2020
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
pulse power supply
tracking error
EMD
signal reconstruction - Opis:
- Assessment of the state of a pulse power supply requires effective and accurate methods to measure and reconstruct the tracking error. This paper proposes a tracking error measurement method for a digital pulse power supply. A de-noising algorithm based on Empirical Mode Decomposition (EMD) is used to analyse the energy of each Intrinsic Mode Function (IMF) component, identify the turning point of energy, and reconstruct the signal to obtain the accurate tracking error. The effectiveness of this EMD method is demonstrated by simulation and actual measurement. Simulation was used to compare the performance of time domain filtering, wavelet threshold de-noising, and the EMD de-noising algorithm. In practical use, the feedback of current on the prototype of the power supply is sampled and analysed as experimental data.
- Źródło:
-
Metrology and Measurement Systems; 2020, 27, 2; 339-353
0860-8229 - Pojawia się w:
- Metrology and Measurement Systems
- Dostawca treści:
- Biblioteka Nauki
Artykuł