Design of main ring dipole power supply for Heavy Ion Research Facility in Lanzhou-Cooling Storage Ring

chen youxin; yan hongbin; huang yuzhen; wang jinjun; zhou zhongzu; ding junhuai; gao daqing; yuan youjin; xia jiawen; wang youyun

Volume 22 Issue 09

Aug. 2010

Turn off MathJax

Article Contents

Abstract

References

Article Navigation > High Power Laser and Particle Beams > 2010 > 22(09): 0-

fan bin, wan yong-jian, yang li, et al. Experimental investigation on intelligent control of active lap based on CMAC neural network[J]. High Power Laser and Particle Beams, 2006, 18.

Citation:

chen youxin, yan hongbin, huang yuzhen, et al. Design of main ring dipole power supply for Heavy Ion Research Facility in Lanzhou-Cooling Storage Ring[J]. High Power Laser and Particle Beams, 2010, 22.

fan bin, wan yong-jian, yang li, et al. Experimental investigation on intelligent control of active lap based on CMAC neural network[J]. High Power Laser and Particle Beams, 2006, 18.

Citation:

PDF( 842 KB)

Design of main ring dipole power supply for Heavy Ion Research Facility in Lanzhou-Cooling Storage Ring

1.
Institute of Modern Physics,Chinese Academy of Sciences,Lanzhou 730000,China;
2.
Graduate University of Chinese Academy of Sciences,Beijing 100046,China;
3.
Tianshui Electric Drive Research Institute,Tianshui 741020,China

Publish Date: 2010-08-17

Abstract

Abstract

The main dipole power supply is the pivotal device of the Heavy Ion Research Facility in Lanzhou-Cooling Storage Ring (HIRFL-CSR) project and is the most technically demanding source. A special topology and control method has been used in the power supply. This paper firstly introduces the main circuit topology, which includes a silicon controlled rectifier and a parallel switching-mode rectifier. The topology is adopted to realize the peak output power of 3.15 MW (3 kA, 1.45 kV) and pulse-mode working state. Then it presents and discusses the control method and double reference setting system of the power supply, which are used to fulfill the strict requirements especially for the tracking error (less than ±2×10-4). Finally, it introduces the process of commissioning and the upgrading o
- pulse-mode dipole power supply,
- silicon controlled rectifier,
- pulse width modulation compensation unit,
- control strategy

FullText(HTML)

References(0)

References

Relative Articles

[1]	Li Chao, Shi Rui, Zeng Shuxin, Xu Xinhua, Wei Yuhong, Tuo Xianguo. Lightweight neural network model for nuclide recognition based on nuclear pulse peak sequence and its FPGA acceleration method[J]. High Power Laser and Particle Beams, 2025, 37(5): 059001. doi: 10.11884/HPLPB202537.240398
[2]	Lü Donghui, Cheng Jie, Li Rui, Zhang Nan, Zhang Ligang. A nano-second pulse waveform reconstruction method based on neural network[J]. High Power Laser and Particle Beams, 2025, 37(1): 013002. doi: 10.11884/HPLPB202537.240342
[3]	Liu Luyao, Jin Xiao, Cai Jinliang. Prediction of system-level electric field radiated emission based on ANN reverse model[J]. High Power Laser and Particle Beams, 2024, 36(9): 099002. doi: 10.11884/HPLPB202436.240177
[4]	Chen Changjun, Tang Dan, Yang Hao, You Anqing, Pan Xudong. Research of aircraft pose estimation based on neural network feature line extraction[J]. High Power Laser and Particle Beams, 2024, 36(6): 069001. doi: 10.11884/HPLPB202436.240032
[5]	He Zhibin, Yan Liping, Zhao Xiang. Prediction of coupling cross section of hexagonal aperture array based on BP neural network[J]. High Power Laser and Particle Beams, 2022, 34(5): 053001. doi: 10.11884/HPLPB202234.210566
[6]	Li Dong, Sheng Liang, Li Yang, Duan Baojun. Research on algorithm for restoration of large aperture and thick pinhole imaging based on neural network[J]. High Power Laser and Particle Beams, 2022, 34(6): 064002. doi: 10.11884/HPLPB202234.210345
[7]	Jing Yanlong, Li Jie, Shi Wentian, Yan Xiaoling. Prediction of residual stress in selective laser melting based on neural network[J]. High Power Laser and Particle Beams, 2021, 33(10): 109001. doi: 10.11884/HPLPB202133.210223
[8]	Han Xiaolei, Zhang Rongzhu. Optimizing method of machining paths for reducing ripple errors[J]. High Power Laser and Particle Beams, 2019, 31(11): 112002. doi: 10.11884/HPLPB201931.190098
[9]	Liu Chunhua, Hou Zhipei, Wang Yuqin, Feng Zhen, Xia Fan, Huang Yuan. Artificial neural network approach applied to data processing of Thomson scattering on HL-2A[J]. High Power Laser and Particle Beams, 2019, 31(2): 022003. doi: 10.11884/HPLPB201931.180206
[10]	Zhao Shijie, Xie Ruiqing, Liao Defeng, Chen Xianhua, Wang Jian. Low transmitted wavefront error processing technology for Nd:YAG crystal slab[J]. High Power Laser and Particle Beams, 2015, 27(06): 062010. doi: 10.11884/HPLPB201527.062010
[11]	Li Xiulong, Wan Yongjian, Xu Qinglan, Zhang Yang, Luo Yinchuan, Zhang Rongzhu. Removal effects of waterjet particle impinging in ductile manner[J]. High Power Laser and Particle Beams, 2014, 26(05): 051007. doi: 10.11884/HPLPB201426.051007
[12]	Jing Yuefeng, Liu Jun, Guan Yonghong. Inpainting method for flash radiographic anti-scatter grid image based on neural networks[J]. High Power Laser and Particle Beams, 2013, 25(03): 751-754. doi: 10.3788/HPLPB20132503.0751
[13]	Zhao Hongshen, Li Xiaojin, Zeng Zhige. Error analysis of deformation measurement of active lap[J]. High Power Laser and Particle Beams, 2013, 25(02): 325-329. doi: 10.3788/HPLPB20132502.0325
[14]	Jing Yuefeng, Liu Jun, Guan Yonghong. Restoration method for flash radiographic images based on BP neural network[J]. High Power Laser and Particle Beams, 2012, 24(09): 2215-2219. doi: 10.3788/HPLPB20122409.2215
[15]	sun tianxiang, yang li, wu yongqian, lei baiping, wan yongjian. Finite element analysis of stressed mirror polishing based on elasticity mechanics[J]. High Power Laser and Particle Beams, 2010, 22(02): 0- .
[16]	han yu, wu fan, wan yongjian, fang kai. Research on mid-frequency errors smoothing with a passive semi-rigid lap[J]. High Power Laser and Particle Beams, 2010, 22(02): 0- .
[17]	shi chunyan, yuan jiahu, wu fan, wan yongjian, hou xi. Numerical simulation of turbulent flow field in fluid jet polishing[J]. High Power Laser and Particle Beams, 2009, 21(01): 0- .
[18]	gong fa-quan, xiao peng, huang run-lan, li gang, liu wan-fa, dong chuang. Super-smooth surface nanometer fabrication of chemical vapor deposition SiC[J]. High Power Laser and Particle Beams, 2007, 19(02): 0- .
[19]	zeng zhi-ge, deng jian-ming, li xiao-jin, ling ning, jiang wen-han. Investigation of deformation experiment for active polishing lap[J]. High Power Laser and Particle Beams, 2004, 16(05): 0- .
[20]	zeng zhi-ge, deng jian-ming, jiang wen-han. Finite element analysis for active polishing lap[J]. High Power Laser and Particle Beams, 2002, 14(01): 0- .