Generation of a Flat-Top Magnetic Field With Multiple-Capacitor Power Supply

Dake Li; Hongfa Ding; Yuchao Fang; Song Zhang; Daiyuan Pan

doi:10.1109/ACCESS.2022.3162260

IEEE Access (Jan 2022)

Generation of a Flat-Top Magnetic Field With Multiple-Capacitor Power Supply

Dake Li,
Hongfa Ding,
Yuchao Fang,
Song Zhang,
Daiyuan Pan

Affiliations

Dake Li: ORCiD; Wuhan National High Magnetic Field Center, College of Electrical and Electronics Engineering, Huazhong University of Science and Technology, Wuhan, China
Hongfa Ding: ORCiD; Wuhan National High Magnetic Field Center, College of Electrical and Electronics Engineering, Huazhong University of Science and Technology, Wuhan, China
Yuchao Fang: College of Electrical Engineering, Zhejiang University, Hangzhou, China
Song Zhang: ORCiD; Wuhan National High Magnetic Field Center, College of Electrical and Electronics Engineering, Huazhong University of Science and Technology, Wuhan, China
Daiyuan Pan: Wuhan National High Magnetic Field Center, College of Electrical and Electronics Engineering, Huazhong University of Science and Technology, Wuhan, China

DOI: https://doi.org/10.1109/ACCESS.2022.3162260
Journal volume & issue: Vol. 10
pp. 35550 – 35560

Abstract

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The flat-top magnetic field (FTMF) can meet scientific experimental requirements for higher magnetic intensity, longer flat-top pulse width, and lower ripple in physics, chemistry, biology, and other scientific fields. This paper proposes an FTMF system powered by the multiple-capacitor power supply (MCPS). The MCPS consists of several capacitor banks with customizable capacitance and given voltage. These banks discharge sequentially based on the designed time-series to yield an FTMF. Compared with other methods for generating the FTMF, the MCPS can easily generate FTMFs with high parameters and flexible adjustability of the pulse width. Due to the coupled variable parameters between and within the power supply and the magnet, a hybrid algorithm based on the genetic algorithm (GA) and particle swarm optimization (PSO) is applied to calculate the discharge parameters of the MCPS. The optimal solution from the GA-PSO hybrid algorithm is visualized and selected by the basis vector method. For verifying the effectiveness of the MCPS and the optimization method, a series of FTMFs at different magnetic field strength levels are modeled in MATLAB/Simulink and achieved in the experiment. The generated FTMF with the highest field strength is 50 T, its pulse width is 70 ms, and ripple is less than 0.7%.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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