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A Wavelet Transform-Based Real-Time Filtering Algorithm for Fusion Magnet Power Signals and Its Implementation

Author

Listed:
  • Xiaoxiao Yang

    (School of Microelectronics, Hefei University of Technology, Hefei 230009, China)

  • Xiaojiao Chen

    (Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, China)

  • Kezhong Sun

    (School of Microelectronics, Hefei University of Technology, Hefei 230009, China)

  • Chuanyu Xiong

    (State Grid Hubei Electric Power Company Limited Economic Research Institute, STATE GRID Corporation of China, Wuhan 430077, China)

  • Dongran Song

    (School of Automation, Central South University, Changsha 410083, China)

  • Yingchun Lu

    (School of Microelectronics, Hefei University of Technology, Hefei 230009, China)

  • Liansheng Huang

    (Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, China)

  • Shiying He

    (Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, China)

  • Xiuqing Zhang

    (Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, China)

Abstract

With high real-time performance and a good filtering effect, the wavelet transform-based real-time filter is more commonly used in the fusion magnet power supply. Considering the signal characteristics of the fusion magnet power supply, the sliding time window method is widely used to satisfy the requirements of filtering efficiency. In this paper, an updated half-edge extension method is proposed to improve the boundary effect of sliding window data. Moreover, the hardware-based wavelet loopback structure is proposed to avoid the double computation of long sliding window data, thereby improving real-time performance and satisfying the demands of fusion magnet power supply filtering. The proposed half-edge extension method and the wavelet loopback structure are implemented by designed FPGA and experimented on the Experimental and Advanced Superconducting Tokamak (EAST) fusion magnet power supply system to verify the filtering efficiency. According to the experiment’s results, the proposed half-edge extension method has a better filtering effect, and the proposed wavelet loopback structure decreases the time by 67.4%, which can satisfy the requirements of the power supply system.

Suggested Citation

  • Xiaoxiao Yang & Xiaojiao Chen & Kezhong Sun & Chuanyu Xiong & Dongran Song & Yingchun Lu & Liansheng Huang & Shiying He & Xiuqing Zhang, 2023. "A Wavelet Transform-Based Real-Time Filtering Algorithm for Fusion Magnet Power Signals and Its Implementation," Energies, MDPI, vol. 16(10), pages 1-15, May.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:10:p:4091-:d:1147034
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