A Wavelet Transform-Based Real-Time Filtering Algorithm for Fusion Magnet Power Signals and Its Implementation
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 re...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/10/4091 |
| _version_ | 1797600260855431168 |
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| author | Xiaoxiao Yang Xiaojiao Chen Kezhong Sun Chuanyu Xiong Dongran Song Yingchun Lu Liansheng Huang Shiying He Xiuqing Zhang |
| author_facet | Xiaoxiao Yang Xiaojiao Chen Kezhong Sun Chuanyu Xiong Dongran Song Yingchun Lu Liansheng Huang Shiying He Xiuqing Zhang |
| author_sort | Xiaoxiao Yang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T03:47:06Z |
| format | Article |
| id | doaj.art-ce22a94ff3b6407b9a39b643297f79bc |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T03:47:06Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-ce22a94ff3b6407b9a39b643297f79bc2023-11-18T01:12:45ZengMDPI AGEnergies1996-10732023-05-011610409110.3390/en16104091A Wavelet Transform-Based Real-Time Filtering Algorithm for Fusion Magnet Power Signals and Its ImplementationXiaoxiao Yang0Xiaojiao Chen1Kezhong Sun2Chuanyu Xiong3Dongran Song4Yingchun Lu5Liansheng Huang6Shiying He7Xiuqing Zhang8School of Microelectronics, Hefei University of Technology, Hefei 230009, ChinaInstitute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, ChinaSchool of Microelectronics, Hefei University of Technology, Hefei 230009, ChinaState Grid Hubei Electric Power Company Limited Economic Research Institute, STATE GRID Corporation of China, Wuhan 430077, ChinaSchool of Automation, Central South University, Changsha 410083, ChinaSchool of Microelectronics, Hefei University of Technology, Hefei 230009, ChinaInstitute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, ChinaInstitute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, ChinaInstitute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, ChinaWith 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.https://www.mdpi.com/1996-1073/16/10/4091fusion magnet power supplyreal-time filteringwavelet transformhardware accelerationFPGA |
| spellingShingle | Xiaoxiao Yang Xiaojiao Chen Kezhong Sun Chuanyu Xiong Dongran Song Yingchun Lu Liansheng Huang Shiying He Xiuqing Zhang A Wavelet Transform-Based Real-Time Filtering Algorithm for Fusion Magnet Power Signals and Its Implementation Energies fusion magnet power supply real-time filtering wavelet transform hardware acceleration FPGA |
| title | A Wavelet Transform-Based Real-Time Filtering Algorithm for Fusion Magnet Power Signals and Its Implementation |
| title_full | A Wavelet Transform-Based Real-Time Filtering Algorithm for Fusion Magnet Power Signals and Its Implementation |
| title_fullStr | A Wavelet Transform-Based Real-Time Filtering Algorithm for Fusion Magnet Power Signals and Its Implementation |
| title_full_unstemmed | A Wavelet Transform-Based Real-Time Filtering Algorithm for Fusion Magnet Power Signals and Its Implementation |
| title_short | A Wavelet Transform-Based Real-Time Filtering Algorithm for Fusion Magnet Power Signals and Its Implementation |
| title_sort | wavelet transform based real time filtering algorithm for fusion magnet power signals and its implementation |
| topic | fusion magnet power supply real-time filtering wavelet transform hardware acceleration FPGA |
| url | https://www.mdpi.com/1996-1073/16/10/4091 |
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