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

Xiaoxiao Yang, Xiaojiao Chen (), Kezhong Sun, Chuanyu Xiong, Dongran Song, Yingchun Lu, Liansheng Huang, Shiying He and Xiuqing Zhang
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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

Energies, 2023, vol. 16, issue 10, 1-15

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.

Keywords: fusion magnet power supply; real-time filtering; wavelet transform; hardware acceleration; FPGA (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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